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Control theory
integral term permits rejection step disturbance often striking specification process control.derivative term used provide damping shaping response.pid controllers wellestablished class control systems however cannot used several complicated cases especially mimo systems considered.applying laplace transformation results transformed pid controller equation u k p e k e k e displaystyle uskpeskifrac seskdses u k p k k e displaystyle usleftkpkifrac skdsrightes pid controller transfer function c k p k k .displaystyle csleftkpkifrac skdsright.example tuning pid controller closedloop system hs consider st order plant given p p displaystyle psfrac astp tp constants.
Control theory
plant output fed back f f displaystyle fsfrac stf tf also constant.set k p k displaystyle kpkleftfrac tdtiright kd ktd k k displaystyle kifrac kti express pid controller transfer function series form c k displaystyle cskleftfrac stirightstd plugging ps fs cs closedloop transfer function hs find setting k f p displaystyle kfrac atitftdtp hs .tuning example system output follows reference input exactly.however practice pure differentiator neither physically realizable desirable due amplification noise resonant modes system.therefore phaselead compensator type approach differentiator lowpass rolloff used instead.linear nonlinear control theory field control theory divided two brancheslinear control theory – applies systems made devices obey superposition principle means roughly output proportional input.
Control theory
governed linear differential equations.major subclass systems addition parameters change time called linear time invariant lti systems.systems amenable powerful frequency domain mathematical techniques great generality laplace transform fourier transform z transform bode plot root locus nyquist stability criterion.lead description system using terms like bandwidth frequency response eigenvalues gain resonant frequencies zeros poles give solutions system response design techniques systems interest.nonlinear control theory – covers wider class systems obey superposition principle applies realworld systems real control systems nonlinear.systems often governed nonlinear differential equations.
Control theory
mathematical techniques developed handle difficult much less general often applying narrow categories systems.include limit cycle theory poincaré maps lyapunov stability theorem describing functions.nonlinear systems often analyzed using numerical methods computers example simulating operation using simulation language.solutions near stable point interest nonlinear systems often linearized approximating linear system using perturbation theory linear techniques used.analysis techniques frequency domain time domain mathematical techniques analyzing designing control systems fall two different categoriesfrequency domain – type values state variables mathematical variables representing systems input output feedback represented functions frequency.
Control theory
input signal systems transfer function converted time functions functions frequency transform fourier transform laplace transform z transform.advantage technique results simplification mathematics differential equations represent system replaced algebraic equations frequency domain much simpler solve.however frequency domain techniques used linear systems mentioned above.timedomain state space representation – type values state variables represented functions time.model system analyzed represented one differential equations.since frequency domain techniques limited linear systems time domain widely used analyze realworld nonlinear systems.
Control theory
although difficult solve modern computer simulation techniques simulation languages made analysis routine.in contrast frequency domain analysis classical control theory modern control theory utilizes timedomain state space representation mathematical model physical system set input output state variables related firstorder differential equations.abstract number inputs outputs states variables expressed vectors differential algebraic equations written matrix form latter possible dynamical system linear.state space representation also known timedomain approach provides convenient compact way model analyze systems multiple inputs outputs.inputs outputs would otherwise write laplace transforms encode information system.unlike frequency domain approach use statespace representation limited systems linear components zero initial conditions.
Control theory
state space refers space whose axes state variables.state system represented point within space.system interfacing siso mimo control systems divided different categories depending number inputs outputs.singleinput singleoutput siso – simplest common type one output controlled one control signal.examples cruise control example audio system control input input audio signal output sound waves speaker.multipleinput multipleoutput mimo – found complicated systems.example modern large telescopes keck mmt mirrors composed many separate segments controlled actuator.
Control theory
shape entire mirror constantly adjusted mimo active optics control system using input multiple sensors focal plane compensate changes mirror shape due thermal expansion contraction stresses rotated distortion wavefront due turbulence atmosphere.complicated systems nuclear reactors human cells simulated computer large mimo control systems.topics control theory stability stability general dynamical system input described lyapunov stability criteria.a linear system called boundedinput boundedoutput bibo stable output stay bounded bounded input.stability nonlinear systems take input inputtostate stability iss combines lyapunov stability notion similar bibo stability.for simplicity following descriptions focus continuoustime discretetime linear systems.mathematically means causal linear system stable poles transfer function must negativereal values i.e.real part pole must less zero.practically speaking stability requires transfer function complex poles residein open left half complex plane continuous time laplace transform used obtain transfer function.inside unit circle discrete time ztransform used.the difference two cases simply due traditional method plotting continuous time versus discrete time transfer functions.
Control theory
continuous laplace transform cartesian coordinates x displaystyle x axis real axis discrete ztransform circular coordinates ρ displaystyle rho axis real axis.when appropriate conditions satisfied system said asymptotically stable variables asymptotically stable control system always decrease initial value show permanent oscillations.permanent oscillations occur pole real part exactly equal zero continuous time case modulus equal one discrete time case.simply stable system response neither decays grows time oscillations marginally stable case system transfer function nonrepeated poles complex plane origin i.e.real complex component zero continuous time case.oscillations present poles real part equal zero imaginary part equal zero.if system question impulse response x n .
Control theory
n u n displaystyle xn.nun ztransform see example given x z − .z − displaystyle xzfrac .z pole z .displaystyle z. zero imaginary part.system bibo asymptotically stable since pole inside unit circle.however impulse response x n .n u n displaystyle xn.nun ztransform x z − .
Control theory
z − displaystyle xzfrac .z pole z .displaystyle z. bibo stable since pole modulus strictly greater one.numerous tools exist analysis poles system.include graphical systems like root locus bode plots nyquist plots.mechanical changes make equipment control systems stable.sailors add ballast improve stability ships.cruise ships use antiroll fins extend transversely side ship perhaps feet continuously rotated axes develop forces oppose roll.
Control theory
controllability observability controllability observability main issues analysis system deciding best control strategy applied whether even possible control stabilize system.controllability related possibility forcing system particular state using appropriate control signal.state controllable signal ever able control state.state controllable dynamics stable state termed stabilizable.observability instead related possibility observing output measurements state system.
Control theory
state observable controller never able determine behavior unobservable state hence cannot use stabilize system.however similar stabilizability condition state cannot observed might still detectable.from geometrical point view looking states variable system controlled every bad state variables must controllable observable ensure good behavior closedloop system.one eigenvalues system controllable observable part dynamics remain untouched closedloop system.eigenvalue stable dynamics eigenvalue present closedloop system therefore unstable.unobservable poles present transfer function realization statespace representation sometimes latter preferred dynamical systems analysis.solutions problems uncontrollable unobservable system include adding actuators sensors.
Control theory
control specification several different control strategies devised past years.vary extremely general ones pid controller others devoted particular classes systems especially robotics aircraft cruise control.a control problem several specifications.stability course always present.controller must ensure closedloop system stable regardless openloop stability.poor choice controller even worsen stability openloop system must normally avoided.
Control theory
sometimes would desired obtain particular dynamics closed loop i.e.poles r e λ − λ ¯ displaystyle relambda overline lambda λ ¯ displaystyle overline lambda fixed value strictly greater zero instead simply asking r e λ displaystyle relambda .another typical specification rejection step disturbance including integrator openloop chain i.e.directly system control easily achieves this.classes disturbances need different types subsystems included.other classical control theory specifications regard timeresponse closedloop system.include rise time time needed control system reach desired value perturbation peak overshoot highest value reached response reaching desired value others settling time quarterdecay.
Control theory
frequency domain specifications usually related robustness see after.modern performance assessments use variation integrated tracking error iae isa cqi.model identification robustness control system must always robustness property.robust controller properties change much applied system slightly different mathematical one used synthesis.requirement important real physical system truly behaves like series differential equations used represent mathematically.typically simpler mathematical model chosen order simplify calculations otherwise true system dynamics complicated complete model impossible.system identificationthe process determining equations govern models dynamics called system identification.
Control theory
done offline example executing series measures calculate approximated mathematical model typically transfer function matrix.identification output however cannot take account unobservable dynamics.sometimes model built directly starting known physical equations example case massspringdamper system know x ¨ − k x − b x ˙ displaystyle mddot xtkxtmathrm b dot xt .even assuming complete model used designing controller parameters included equations called nominal parameters never known absolute precision control system behave correctly even connected physical system true parameter values away nominal.some advanced control techniques include online identification process see later.parameters model calculated identified controller running.
Control theory
way drastic variation parameters ensues example robots arm releases weight controller adjust consequently order ensure correct performance.analysisanalysis robustness siso single input single output control system performed frequency domain considering systems transfer function using nyquist bode diagrams.topics include gain phase margin amplitude margin.mimo multiinput multi output general complicated control systems one must consider theoretical results devised control technique see next section.i.e.particular robustness qualities needed engineer must shift attention control technique including qualities properties.constraintsa particular robustness issue requirement control system perform properly presence input state constraints.
Control theory
physical world every signal limited.could happen controller send control signals cannot followed physical system example trying rotate valve excessive speed.produce undesired behavior closedloop system even damage break actuators subsystems.specific control techniques available solve problem model predictive control see later antiwind systems.latter consists additional control block ensures control signal never exceeds given threshold.
Control theory
system classifications linear systems control mimo systems pole placement performed mathematically using state space representation openloop system calculating feedback matrix assigning poles desired positions.complicated systems require computerassisted calculation capabilities cannot always ensure robustness.furthermore system states general measured observers must included incorporated pole placement design.nonlinear systems control processes industries like robotics aerospace industry typically strong nonlinear dynamics.control theory sometimes possible linearize classes systems apply linear techniques many cases necessary devise scratch theories permitting control nonlinear systems.
Control theory
e.g.feedback linearization backstepping sliding mode control trajectory linearization control normally take advantage results based lyapunovs theory.differential geometry widely used tool generalizing wellknown linear control concepts nonlinear case well showing subtleties make challenging problem.control theory also used decipher neural mechanism directs cognitive states.decentralized systems control system controlled multiple controllers problem one decentralized control.
Control theory
decentralization helpful many ways instance helps control systems operate larger geographical area.agents decentralized control systems interact using communication channels coordinate actions.deterministic stochastic systems control stochastic control problem one evolution state variables subjected random shocks outside system.deterministic control problem subject external random shocks.main control strategies every control system must guarantee first stability closedloop behavior.
Control theory
linear systems obtained directly placing poles.nonlinear control systems use specific theories normally based aleksandr lyapunovs theory ensure stability without regard inner dynamics system.possibility fulfill different specifications varies model considered control strategy chosen.list main control techniquesadaptive control uses online identification process parameters modification controller gains thereby obtaining strong robustness properties.adaptive controls applied first time aerospace industry found particular success field.a hierarchical control system type control system set devices governing software arranged hierarchical tree.links tree implemented computer network hierarchical control system also form networked control system.intelligent control uses various ai computing approaches like artificial neural networks bayesian probability fuzzy logic machine learning evolutionary computation genetic algorithms combination methods neurofuzzy algorithms control dynamic system.optimal control particular control technique control signal optimizes certain cost index example case satellite jet thrusts needed bring desired trajectory consume least amount fuel.
Control theory
two optimal control design methods widely used industrial applications shown guarantee closedloop stability.model predictive control mpc linearquadraticgaussian control lqg.first explicitly take account constraints signals system important feature many industrial processes.however optimal control structure mpc means achieve result optimize true performance index closedloop control system.together pid controllers mpc systems widely used control technique process control.robust control deals explicitly uncertainty approach controller design.
Control theory
controllers designed using robust control methods tend able cope small differences true system nominal model used design.early methods bode others fairly robust statespace methods invented sometimes found lack robustness.examples modern robust control techniques include hinfinity loopshaping developed duncan mcfarlane keith glover sliding mode control smc developed vadim utkin safe protocols designed control large heterogeneous populations electric loads smart power grid applications.robust methods aim achieve robust performance andor stability presence small modeling errors.stochastic control deals control design uncertainty model.typical stochastic control problems assumed exist random noise disturbances model controller control design must take account random deviations.selforganized criticality control may defined attempts interfere processes selforganized system dissipates energy.
Control theory
people systems control many active historical figures made significant contribution control theory includingpierresimon laplace invented ztransform work probability theory used solve discretetime control theory problems.ztransform discretetime equivalent laplace transform named him.irmgard fluggelotz developed theory discontinuous automatic control applied automatic aircraft control systems.alexander lyapunov marks beginning stability theory.harold s. black invented concept negative feedback amplifiers .managed develop stable negative feedback amplifiers s.harry nyquist developed nyquist stability criterion feedback systems s.richard bellman developed dynamic programming since s.warren e. dixon control theorist professorandrey kolmogorov codeveloped wiener–kolmogorov filter .norbert wiener codeveloped wiener–kolmogorov filter coined term cybernetics s.john r. ragazzini introduced digital control use ztransform control theory invented laplace s.lev pontryagin introduced maximum principle bangbang principle.pierrelouis lions developed viscosity solutions stochastic control optimal control methods.rudolf e. kálmán pioneered statespace approach systems control.introduced notions controllability observability.developed kalman filter linear estimation.ali h. nayfeh one main contributors nonlinear control theory published many books perturbation methodsjan c. willems introduced concept dissipativity generalization lyapunov function inputstateoutput systems.
Control theory
construction storage function analogue lyapunov function called led study linear matrix inequality lmi control theory.pioneered behavioral approach mathematical systems theory.see also examples control systemstopics control theoryother related topics references reading levine william s. ed..control handbook.
Control theory
new york crc press.isbn .karl j. åström richard m. murray .feedback systems introduction scientists engineers pdf.princeton university press.isbn .christopher kilian .
Control theory
modern control technology.thompson delmar learning.isbn .vannevar bush .operational circuit analysis.john wiley sons inc.robert f. stengel .
Control theory
optimal control estimation.dover publications.isbn .franklin et al..feedback control dynamic systems ed.. new jersey prentice hall.
Control theory
isbn .joseph l. hellerstein dawn m. tilbury sujay parekh .feedback control computing systems.john wiley sons.isbn .diederich hinrichsen anthony j. pritchard .mathematical systems theory – modelling state space analysis stability robustness.
Control theory
springer.isbn .andrei neculai .modern control theory – historical perspective pdf.retrieved october .cite journal cite journal requires journal helpsontag eduardo .
Control theory
mathematical control theory deterministic finite dimensional systems.second edition pdf.springer.isbn .goodwin graham .control system design.
Control theory
prentice hall.isbn .christophe basso .designing control loops linear switching power supplies tutorial guide.artech house.isbn .boris j. lurie paul j. enright .
Control theory
classical feedback control nonlinear multiloop systems ed.. crc press.isbn .for chemical engineeringluyben william .process modeling simulation control chemical engineers.mcgraw hill.isbn .
Software configuration management
external links control tutorials matlab set workedthrough control examples solved several different methods.control tuning best practicesadvanced control structures free online simulators explaining control theorythe dark side loop control theory professional seminar taught apec orlando fl.scm practices include revision control establishment baselines.something goes wrong scm determine changed changed it.configuration working well scm determine replicate across many hosts.the acronym scm also expanded source configuration management process software change configuration management.however configuration generally understood cover changes typically made system administrator.purposes goals scm generallyconfiguration identification identifying configurations configuration items baselines.configuration control implementing controlled change process.
Software configuration management
usually achieved setting change control board whose primary function approve reject change requests sent baseline.configuration status accounting recording reporting necessary information status development process.configuration auditing ensuring configurations contain intended parts sound respect specifying documents including requirements architectural specifications user manuals.build management managing process tools used builds.process management ensuring adherence organizations development process.environment management managing software hardware host system.teamwork facilitate team interactions related process.defect tracking making sure every defect traceability back source.with introduction cloud computing devops purposes scm tools become merged cases.scm tools become virtual appliances instantiated virtual machines saved state version.tools model manage cloudbased virtual resources including virtual appliances storage units software bundles.roles responsibilities actors become merged well developers able dynamically instantiate virtual servers related resources.history history software configuration management scm computing traced back early cm configuration management originally hardware development production control applied software development.
Software configuration management
early software physical footprint cards tapes media.first software configuration management manual operation.advances language complexity software engineering involving configuration management methods became major concern due issues like schedule budget quality.practical lessons years led definition establishment procedures tools.eventually tools became systems manage software changes.
Software configuration management
industrywide practices offered solutions either open proprietary manner revision control system.growing use computers systems emerged handled broader scope including requirements management design alternatives quality control later tools followed guidelines organizations capability maturity model software engineering institute.see also application lifecycle managementcomparison open source configuration management softwarecomparison version control softwarecontinuous configuration automationlist revision control softwareinfrastructure code references reading ieee standard configuration management systems software engineering..doi.ieeestd... isbn .aiello r. .
Software configuration management
configuration management best practices practical methods work real world st ed.. addisonwesley.isbn .babich w.a..software configuration management coordination team productivity.st edition.
Software configuration management
boston addisonwesleyberczuk appleton .software configuration management patterns effective teamwork practical integration st ed.. addisonwesley.isbn .bersoff e.h. .elements software configuration management.ieee computer society press los alamitos ca dennis a. wixom b.h.
Software configuration management
tegarden d. .system analysis design objectoriented approach uml.hoboken new york john wiley sons inc.department defense usa .military handbook configuration management guidance rev.milhdbka.
Software configuration management
retrieved january http r.t. et al..quality software project management.st edition.prenticehall.international organization standardization .
Software configuration management
iso quality management systems – guidelines configuration management.saeki m. .embedding metrics information systems development methods application method engineering technique.caise –.scott j.a.nisse d. .software configuration management.
Software configuration management
guide software engineering body knowledge.retrieved january http m. duvall steve matyas andrew glover .continuous integration improving software quality reducing risk.st ed.. addisonwesley professional.isbn .
Open Platform Communications
external links scm iso robert bamford william deibler ssqcuse cases implementing application lifecycle management parallel development strategies software configuration managementbased object linking embedding ole process control.an industrial automation task force developed original standard name ole process control.opc specifies communication realtime plant data control devices different manufacturers.after initial release opc foundation created maintain standards.since opc adopted beyond field process control opc foundation changed name open platform communications .change name reflects applications opc technology applications building automation discrete manufacturing process control others.opc also grown beyond original ole implementation include data transportation technologies including microsoft corporations .net framework xml even opc foundations binaryencoded tcp format.
Open Platform Communications
history opc specification based ole com dcom technologies developed microsoft corporation microsoft windows operating system family.specification defined standard set objects interfaces e.g.idl methods use process control manufacturing automation applications facilitate interoperability.common opc specification opc data access used reading writing realtime data.vendors refer opc generically typically mean opc data access opc da.
Open Platform Communications
opc da gone three major revisions since inception.versions backwards compatible version opc server still accessed version opc client since specifications add functionality still require older version implemented well.however client could written support older functions since everything done using newer ones thus dacompatible client necessarily work da .server.in addition opc da specification opc foundation maintains opc historical data access hda specification.contrast real time data accessible opc da opc hda allows access retrieval archived data.the opc alarms events specification maintained opc foundation defines exchange alarm event type message information well variable states state management.by specification compared fieldbus previous standards.an opc express interface known opc xi approved november .net framework.
Open Platform Communications
opc xi used windows communication foundation instead dcom configured communication across enhanced security network address translation nat.about time opc unified architecture ua developed platform independence.ua implemented java microsoft .net c eliminating need use microsoft windows platform earlier opc versions.ua combined functionality existing opc interfaces new technologies xml web services deliver higher level manufacturing execution system mes enterprise resource planning erp support.first working group ua met version .published .on september opc foundation mtconnect institute announced cooperation ensure interoperability consistency two standards.
Open Platform Communications
design opc designed provide common bridge windowsbased software applications process control hardware.standards define consistent methods accessing field data plant floor devices.method remains regardless type source data.opc server one hardware device provides methods opc client access data opc server hardware device.aim reduce amount duplicated effort required hardware manufacturers software partners supervisory control data acquisition scada humanmachine interface hmi producers order interface two.
Open Platform Communications
hardware manufacturer developed opc server new hardware device work done regards allowing top end access device scada producer developed opc client allowed access hardware opc compliant server.opc servers provide method different software packages long opc client access data process control device programmable logic controller plc distributed control system.traditionally time package needed access data device custom interface driver written.nothing opc specifications restrict server providing access process control device.opc servers written anything getting internal temperature microprocessor current temperature monument valley.once opc server written particular device reused application able act opc client.opc servers linked communicate servers.
Open Platform Communications
opc servers use microsofts ole technology also known component object model com communicate clients.com technology permits standard realtime information exchange software applications process hardware defined.some opc specifications published others available members opc foundation.company owns opc anyone develop opc server whether member opc foundation nonmembers necessarily using latest specifications.company requires opc products ensure products certified system integrators necessary training.see also modbus rtulonworksknx standardiec mtconnect references external links fatrat library free opc server developers toolkitopenopc open source opc client development pythonopc foundationopc programmers connectionopc unified architecture address space ebookpropc library open source opc serverclient toolkit delphi
Control-flow diagram
one classic business process modeling methodologies along flow charts drakoncharts data flow diagrams functional flow block diagram gantt charts pert diagrams idef.overview controlflow diagram consist subdivision show sequential steps ifthenelse conditions repetition andor case conditions.suitably annotated geometrical figures used represent operations data equipment arrows used indicate sequential flow one another.there several types controlflow diagrams examplechangecontrolflow diagram used project managementconfigurationdecision controlflow diagram used configuration managementprocesscontrolflow diagram used process managementqualitycontrolflow diagram used quality control.in software systems development controlflow diagrams used controlflow analysis dataflow analysis algorithm analysis simulation.control data applicable real time datadriven systems.flow analyses transform logic data requirements text graphic flows easier analyze text.
Control-flow diagram
pert state transition transaction diagrams examples controlflow diagrams.types controlflow diagrams processcontrolflow diagram flow diagram developed process control system critical activity.process control normally closed cycle sensor .application determines sensor information within predetermined calculated data parameters constraints.results comparison controls critical component.
Control-flow diagram
feedback may control component electronically may indicate need manual action .this closedcycle process many checks balances ensure stays safe.may fully computer controlled automated may hybrid sensor automated action requires manual intervention.process control systems may use prior generations hardware software others state art.performanceseeking controlflow diagram figure presents example performanceseeking controlflow diagram algorithm.control law consists estimation modeling optimization processes.
Control-flow diagram
kalman filter estimator inputs outputs residuals recorded.compact propulsionsystemmodeling stage estimated inlet engine parameters recorded.in addition temperatures pressures control positions estimated parameters stall margins thrust drag components recorded.optimization phase operatingcondition constraints optimal solution linearprogramming healthstatus condition codes recorded.finally actual commands sent engine deec recorded.see also dataflow diagramcontrolflow graphdrakonflow process chart references article incorporates public domain material national institute standards technology website https
Control Panel (Windows)
consists set applets include adding removing hardware software controlling user accounts changing accessibility options accessing networking settings.additional applets provided third parties audio video drivers vpn tools input devices networking tools.overview control panel part microsoft windows since windows .successive version introducing new applets.beginning windows control panel implemented special folder i.e.
Control Panel (Windows)
folder physically exist contains shortcuts various applets add remove programs internet options.physically applets stored .cpl files.example add remove programs applet stored name appwiz.cpl system folder.in windows xp control panel home screen changed present categorized navigation structure reminiscent navigating web page.users switch category view gridbased classic view option appears either left side top window.windows vista windows additional layers navigation introduced control panel window became main interface editing settings opposed launching separate dialogs.many individual control panel applets accessed ways.
Control Panel (Windows)
instance display properties accessed rightclicking empty area desktop choosing properties.control panel accessed command prompt typing control optional parameters available open specific control panels.on windows control panel deprecated favor settings app originally introduced windows pc settings provide touchscreenoptimized settings area using metrostyle app platform.functions particularly ability add remove user accounts moved exclusively app windows cannot performed control panel.as october update windows trying open system page control panel redirect users windows settings application.microsoft also blocked shortcuts third party applications could used get retired system page.list control panel applets applets listed components microsoft windows control panel allows users define range settings computer monitor status devices printers modems set new hardware programs network connections.applet stored individually separate file usually .cpl file folder dll locations stored registry following keyshklmsoftwaremicrosoftwindowscurrentversioncontrol panelcplsthis contains string format locations .cpl files hard drive used within control panel.hklmsoftwaremicrosoftwindowscurrentversionexplorercontrolpanelnamespacethis contains location clsid variables panels included cpl files.
Control Panel (Windows)
commonly folders shell applets though windows vista allows physical programs registered well.clsid allows items icon infobox category set gives location file used.the control panel uses lists locate applets load control panel program control.exe started user.addition using control panel user also invoke applets manually via command processor.instance syntax control.exe inetcpl.cpl control.exe name microsoft.internetoptions run internet properties applet windows xp vista respectively.syntax examples accepted windows vista former one accepted windows xp.
Control flow
standard applets peripheral devices options control panel show devices connected computer.actually offer direct interface control devices rather offer basic tasks removal procedures links wizards printers faxes exception.such applets includescanners camerasgame controllersportable media devicesand helpful monitor microsoftdistributed applets thirdparty applets thirdparty software vendors released many applets.although impossible mention listed references external links run control panel tools typing command microsoft.comemphasis explicit control flow distinguishes imperative programming language declarative programming language.within imperative programming language control flow statement statement results choice made two paths follow.nonstrict functional languages functions language constructs exist achieve result usually termed control flow statements.a set statements turn generally structured block addition grouping also defines lexical scope.interrupts signals lowlevel mechanisms alter flow control way similar subroutine usually occur response external stimulus event occur asynchronously rather execution inline control flow statement.at level machine language assembly language control flow instructions usually work altering program counter.central processing units cpus control flow instructions available conditional unconditional branch instructions also termed jumps.categories kinds control flow statements supported different languages vary categorized effectcontinuation different statement unconditional branch jumpexecuting set statements condition met choice i.e.conditional branchexecuting set statements zero times condition met i.e.
Control flow
loop conditional branchexecuting set distant statements flow control usually returns subroutines coroutines continuationsstopping program preventing execution unconditional halt primitives labels label explicit name number assigned fixed position within source code may referenced control flow statements appearing elsewhere source code.label marks position within source code effect.line numbers alternative named label used languages basic.whole numbers placed start line text source code.languages use often impose constraint line numbers must increase value following line may require consecutive.example basicin languages c ada label identifier usually appearing start line immediately followed colon.
Control flow
example cthe language algol allowed whole numbers identifiers labels linked colons following statement algol variants allowed whole numbers.early fortran compilers allowed whole numbers labels.beginning fortran alphanumeric labels also allowed.goto goto statement combination english words go pronounced accordingly basic form unconditional transfer control.although keyword may either upper lower case depending language usually written goto labelthe effect goto statement cause next statement executed statement appearing immediately indicated label.goto statements considered harmful many computer scientists notably dijkstra.subroutines terminology subroutines varies may alternatively known routines procedures functions especially return results methods especially belong classes type classes.in computer memories small current standards subroutines used mainly reduce program size.
Control flow
piece code written used many times various places program.today subroutines often used help make program structured e.g.isolating algorithm hiding data access method.many programmers working one program subroutines one kind modularity help divide work.sequence structured programming ordered sequencing successive commands considered one basic control structures used building block programs alongside iteration recursion choice.minimal structured control flow may böhm jacopini published article communications acm showed program gotos could transformed gotofree form involving choice else loops condition xxx possibly duplicated code andor addition boolean variables truefalse flags.
Control flow
later authors showed choice replaced loops yet boolean variables.that minimalism possible mean necessarily desirable computers theoretically need one machine instruction subtract one number another branch result negative practical computers dozens even hundreds machine instructions.what böhm jacopinis article showed programs could gotofree.research showed control structures one entry one exit much easier understand form mainly could used anywhere statement without disrupting control flow.words composable.later developments nonstrict programming languages – recently composable software transactions – continued strategy making components programs even freely composable.some academics took purist approach böhmjacopini result argued even instructions like break return middle loops bad practice needed böhmjacopini proof thus advocated loops single exit point.purist approach embodied language pascal designed – mids preferred tool teaching introductory programming academia.
Control flow
direct application böhmjacopini theorem may result additional local variables introduced structured chart may also result code duplication.pascal affected problems according empirical studies cited eric s. roberts student programmers difficulty formulating correct solutions pascal several simple problems including writing function searching element array.study henry shapiro cited roberts found using pascalprovided control structures correct solution given subjects subject wrote incorrect code problem allowed write return middle loop.control structures practice programming languages control structures initial keyword indicates type control structure involved.languages divide whether control structures final keyword.no final keyword algol c c haskell java pascal perl php pli python powershell.
Control flow
languages need way grouping statements togetheralgol pascal begin ... endc c java perl php powershell curly brackets ... pli ... endpython uses indent level see offside rulehaskell either indent level curly brackets used freely mixedlua uses ... endfinal keyword ada algol modula fortran mythryl visual basic.forms final keyword varyada final keyword end space initial keyword e.g.... end loop ... end loopalgol mythryl initial keyword spelled backwards e.g.... fi case ... esacfortran final keyword end initial keyword e.g.... endif ... enddomodula final keyword end everythingvisual basic every control structure keyword.
Control flow
... end ... next ... loop ... wend choice ifthenelse statements conditional expressions conditional constructs features programming language perform different computations actions depending whether programmerspecified boolean condition evaluates true false.if..goto.form found unstructured languages mimicking typical machine code instruction would jump goto label line number condition met.if..then..endif.rather restricted jump simple statement nested block could follow key keyword.structured form.if..then..else..endif.
Control flow
second action performed condition false.one common forms many variations.require terminal endif others not.c related languages require terminal keyword require parentheses around condition.conditional statements often nested inside conditional statements.languages allow else combined elseif avoiding need series endif final statements end compound statement.less common variations includesome languages fortran threeway arithmetic testing whether numeric value positive negative zero.some languages functional form statement instance lisps cond.some languages operator form statement cs ternary operator.perl supplements cstyle unless.smalltalk uses iftrue iffalse messages implement conditionals rather fundamental language construct.
Control flow
case switch statements switch statements case statements multiway branches compare given value specified constants take action according first constant match.usually provision default action else otherwise taken match succeeds.switch statements allow compiler optimizations lookup tables.dynamic languages cases may limited constant expressions might extend pattern matching shell script example right implements default case glob matching string.case logiccan also implemented functional form sqls decode statement.
Control flow
loops loop sequence statements specified may carried several times succession.the code inside loop body loop shown xxx obeyed specified number times collection items condition met indefinitely.in functional programming languages haskell scheme loops expressed using recursion fixed point iteration rather explicit looping constructs.tail recursion special case recursion easily transformed iteration.countcontrolled loops programming languages constructions repeating loop certain number times.in cases counting go downwards instead upwards step sizes used.n n begin xxx xxx next end n xxx xxx end examples n body loop may execute value depending programming language.in many programming languages integers reliably used countcontrolled loop.floatingpoint numbers represented imprecisely due hardware constraints loop x .
Control flow
step ..domight repeated times depending rounding errors andor hardware andor compiler version.furthermore increment x occurs repeated addition accumulated rounding errors may mean value x iteration differ quite significantly expected sequence ..
Control flow
.... .. conditioncontrolled loops programming languages constructions repeating loop condition changes.some variations test condition start loop others test end.if test start body may skipped completely end body always executed least once.test repeat xxx xxx loop test test xxx xxx testa control break value change detection method used within ordinary loops trigger processing groups values.values monitored within loop change diverts program flow handling group event associated them.endoffile newzipcode currentzipcode displaytallycurrentzipcode zipcount currentzipcode newzipcode zipcount endif zipcount loop collectioncontrolled loops several programming languages e.g.
Control flow
ada c smalltalk php perl object pascal java c matlab visual basic ruby python javascript fortran later special constructs allow implicit looping elements array members set collection.somecollection eachelement xxx.item collection begin xxx end foreach item mycollection xxx foreach somearray xxx foreach somearray k v xxx collectionstring coll string coll foreach string mystringcollection xxx somecollection foreachobject forall index firstlaststep... scala forexpressions generalise collectioncontrolled loops also support uses asynchronous programming.haskell doexpressions comprehensions together provide similar function forexpressions scala.general iteration general iteration constructs cs statement common lisps form used express sorts loops others looping number collections parallel.
Control flow
specific looping construct used usually preferred general iteration construct since often makes purpose expression clearer.infinite loops infinite loops used assure program segment loops forever exceptional condition arises error.instance eventdriven program server loop forever handling events occur stopping process terminated operator.infinite loops implemented using control flow constructs.commonly unstructured programming jump back goto structured programming indefinite loop loop set never end either omitting condition explicitly setting true true .... languages special constructs infinite loops typically omitting condition indefinite loop.examples include ada loop ... end loop fortran ... end go ... ruby loop ... end.often infinite loop unintentionally created programming error conditioncontrolled loop wherein loop condition uses variables never change within loop.
Control flow
continuation next iteration sometimes within body loop desire skip remainder loop body continue next iteration loop.languages provide statement continue languages skip next perl ruby this.effect prematurely terminate innermost loop body resume normal next iteration.iteration last one loop effect terminate entire loop early.redo current iteration languages like perl ruby redo statement restarts current iteration start.
Control flow
restart loop ruby retry statement restarts entire loop initial iteration.early exit loops using countcontrolled loop search table might desirable stop searching soon required item found.programming languages provide statement break languages exit visual basic last perl effect terminate current loop immediately transfer control statement immediately loop.another term earlyexit loops loopandahalf.the following example done ada supports early exit loops loops test middle.features similar comparing code snippets show difference early exit must combined statement condition middle selfcontained construct.python supports conditional execution code depending whether loop exited early break statement using elseclause loop.
Control flow
examplethe else clause example linked statement inner statement.pythons loops support else clause executed early exit loop occurred.some languages support breaking nested loops theory circles called multilevel breaks.one common use example searching multidimensional table.done either via multilevel breaks break n levels bash php via labeled breaks break continue given label java perl.alternatives multilevel breaks include single breaks together state variable tested break another level exceptions caught level broken placing nested loops function using return effect termination entire nested loop using label goto statement.
Control flow
c include multilevel break usual alternative use goto implement labeled break.python multilevel break continue – proposed pep rejected basis added complexity worth rare legitimate use.the notion multilevel breaks interest theoretical computer science gives rise today called kosaraju hierarchy.s. rao kosaraju refined structured program theorem proving possible avoid adding additional variables structured programming long arbitrarydepth multilevel breaks loops allowed.furthermore kosaraju proved strict hierarchy programs exists every integer n exists program containing multilevel break depth n cannot rewritten program multilevel breaks depth less n without introducing added variables.one also return subroutine executing looped statements breaking nested loop subroutine.proposed control structures multiple breaks generally implemented exceptions instead.in textbook david watt uses tennents notion sequencer explain similarity multilevel breaks return statements.
Control flow
watt notes class sequencers known escape sequencers defined sequencer terminates execution textually enclosing command procedure encompasses breaks loops including multilevel breaks return statements.commonly implemented however return sequencers may also carry return value whereas break sequencer implemented contemporary languages usually cannot.loop variants invariants loop variants loop invariants used express correctness loops.in practical terms loop variant integer expression initial nonnegative value.variants value must decrease loop iteration must never become negative correct execution loop.loop variants used guarantee loops terminate.a loop invariant assertion must true first loop iteration remain true iteration.
Control flow
implies loop terminates correctly exit condition loop invariant satisfied.loop invariants used monitor specific properties loop successive iterations.some programming languages eiffel contain native support loop variants invariants.cases support addon java modeling languages specification loop statements java.loop sublanguage lisp dialects provide extensive sublanguage describing loops.early example found conversional lisp interlisp.
Control flow
common lisp provides loop macro implements sublanguage.loop system crossreference table true count infinite loop purpose dedicated language structure.a b c e f g h cs init test increment loop general loop construct specifically counting one although often used that.a b c deep breaks may accomplished apl c c c use labels gotos.a iteration objects added php .a b c counting loop simulated iterating incrementing list generator instance pythons range.a b c e deep breaks may accomplished use exception handling.a special construct since function used this.a special construct users define general loop functions.a c standard introduced rangebased for.stl stdforeach template function iterate stl containers call unary function element.functionality also constructed macro containers.a countcontrolled looping effected iteration across integer interval early exit including additional condition exit.a eiffel supports reserved word retry however used exception handling loop control.a requires java modeling language jml behavioral interface specification language.a requires loop variants integers transfinite variants supported.supports infinite collections ability iterate collections.
Control flow
require special construct.a deep breaks achieved using go procedures.a common lisp predates concept generic collection type.structured nonlocal control flow many programming languages especially favoring dynamic styles programming offer constructs nonlocal control flow.cause flow execution jump given context resume predeclared point.conditions exceptions continuations three common sorts nonlocal control constructs exotic ones also exist generators coroutines async keyword.conditions pli standard conditions e.g.
Control flow
zerodivide subscriptrange endfile raised intercepted condition action programmers also define use named conditions.like unstructured one statement specified many cases goto needed decide flow control resume.unfortunately implementations substantial overhead space time especially subscriptrange many programmers tried avoid using conditions.common syntax examples condition goto label exceptions modern languages specialized structured construct exception handling rely use goto multilevel breaks returns.example c one writeany number variety catch clauses used above.catch matching particular throw control percolates back subroutine calls andor nested blocks matching catch found end main program reached point program forcibly stopped suitable error message.via cs influence catch keyword reserved declaring patternmatching exception handler languages popular today like java c. languages like ada use keyword exception introduce exception handler may even employ different keyword ada pattern matching.languages like applescript incorporate placeholders exception handler syntax automatically extract several pieces information exception occurs.approach exemplified error construct applescriptdavid watts textbook also analyzes exception handling framework sequencers introduced article section early exits loops.
Control flow
watt notes abnormal situation generally exemplified arithmetic overflows inputoutput failures like file found kind error detected lowlevel program unit handler naturally located highlevel program unit.example program might contain several calls read files action perform file found depends meaning purpose file question program thus handling routine abnormal situation cannot located lowlevel system code.watts notes introducing status flags testing caller singleexit structured programming even multiexit return sequencers would entail results situation application code tends get cluttered tests status flags programmer might forgetfully lazily omit test status flag.fact abnormal situations represented status flags default ignored watt notes contrast status flags testing exceptions opposite default behavior causing program terminate unless programmer explicitly deals exception way possibly adding explicit code ignore it.based arguments watt concludes jump sequencers escape sequencers arent suitable dedicated exception sequencer semantics discussed above.in object pascal java c python finally clause added try construct.
Control flow
matter control leaves try code inside finally clause guaranteed execute.useful writing code must relinquish expensive resource opened file database connection finished processingsince pattern fairly common c special syntaxupon leaving usingblock compiler guarantees stm object released effectively binding variable file stream abstracting side effects initializing releasing file.pythons statement rubys block argument file.open used similar effect.all languages mentioned define standard exceptions circumstances thrown.users throw exceptions fact c allows users throw catch almost type including basic types like int whereas languages like java arent permissive.continuations async c .introduced async keyword supporting asynchronous io direct style.
Control flow
generators generators also known semicoroutines allow control yielded consumer method temporarily typically using yield keyword yield description .like async keyword supports programming direct style.coroutines coroutines functions yield control form cooperative multitasking without threads.coroutines implemented library programming language provides either continuations generators distinction coroutines generators practice technical detail.nonlocal control flow cross reference proposed control structures spoof datamation article r. lawrence clark suggested goto statement could replaced comefrom statement provides entertaining examples.comefrom implemented one esoteric programming language named intercal.donald knuths article structured programming go statements identifies two situations covered control structures listed gave examples control structures could handle situations.
Control flow
despite utility constructs yet found way mainstream programming languages.loop test middle following proposed dahl loop loop xxx readchar test atendoffile xxx writechar repeat repeatif xxx omitted get loop test top traditional loop.xxx omitted get loop test bottom equivalent loop many languages.omitted get infinite loop.construction thought loop check middle.
Control flow
hence single construction replace several constructions programming languages.languages lacking construct generally emulate using equivalent infiniteloopwithbreak idiomwhile true xxx test break xxxa possible variant allow one test within loop use exitwhen see next section appears cover case better.in ada loop construct loopwhilerepeat represented using standard infinite loop loop end loop exit clause middle confused exitwhen statement following section.naming loop like readdata example optional permits leaving outer loop several nested loops.multiple early exitexit nested loops proposed zahn .modified version presented here.exitwhen eventa eventb eventc xxx exits eventa actiona eventb actionb eventc actionc endexitexitwhen used specify events may occur within xxxtheir occurrence indicated using name event statement.event occur relevant action carried control passes endexit.
Control flow
construction provides clear separation determining situation applies action taken situation.exitwhen conceptually similar exception handling exceptions similar constructs used purpose many languages.the following simple example involves searching twodimensional table particular item.exitwhen found missing n j tableij target found missing exits found print item table missing print item table endexit security one way attack piece software redirect flow execution program.variety controlflow integrity techniques including stack canaries buffer overflow protection shadow stacks vtable pointer verification used defend attacks.see also branch computer sciencecontrolflow analysiscontrolflow diagramcontrolflow graphcontrol tablecoroutinecyclomatic complexitydrakonchartflowchartgotojeroo helps learn control structuresmain looprecursionscheduling computingspaghetti codestructured programmingsubroutineswitch statement alters control flow conditionally references reading hoare c. a. r. partition algorithm quicksort algorithm find algorithm .comm.
Control flow
acm .external links media related control flow wikimedia commonsgo statement considered harmfula linguistic contribution gotoless programmingstructured programming go statements pdf.archived original pdf ..mbibm manual pdf.
Control array
.mbcontrol arrays always singledimensional arrays controls added deleted control arrays runtime.one application control arrays hold menu items shared event handler used code common menu items control array.control arrays convenient way handle groups controls perform similar function.events available single control still available array controls difference argument indicating index selected array element passed event.hence instead writing individual procedures control i.e.using control arrays write one procedure array.control arrays longer supported visual basic changes event model made unnecessary.
Control system
visual basic upgrade wizard convert code uses control arrays visual basic code uses recent structures.referencesrange single home heating controller using thermostat controlling domestic boiler large industrial control systems used controlling processes machines.for continuously modulated control feedback controller used automatically control process operation.control system compares value status process variable pv controlled desired value setpoint sp applies difference control signal bring process variable output plant value setpoint.for sequential combinational logic software logic programmable logic controller used.openloop closedloop control two common classes control action open loop closed loop.openloop control system control action controller independent process variable.example central heating boiler controlled timer.
Control system
control action switching boiler.process variable building temperature.controller operates heating system constant time regardless temperature building.in closedloop control system control action controller dependent desired actual process variable.case boiler analogy would utilise thermostat monitor building temperature feed back signal ensure controller output maintains building temperature close set thermostat.closed loop controller feedback loop ensures controller exerts control action control process variable value setpoint.
Control system
reason closedloop controllers also called feedback controllers.feedback control systems case linear feedback systems control loop including sensors control algorithms actuators arranged attempt regulate variable setpoint sp.everyday example cruise control road vehicle external influences hills would cause speed changes driver ability alter desired set speed.pid algorithm controller restores actual speed desired speed optimum way minimal delay overshoot controlling power output vehicles engine.control systems include sensing results trying achieve making use feedback adapt varying circumstances extent.openloop control systems make use feedback run prearranged ways.
Control system
logic control logic control systems industrial commercial machinery historically implemented interconnected electrical relays cam timers using ladder logic.today systems constructed microcontrollers specialized programmable logic controllers plcs.notation ladder logic still use programming method plcs.logic controllers may respond switches sensors cause machinery start stop various operations use actuators.logic controllers used sequence mechanical operations many applications.examples include elevators washing machines systems interrelated operations.
Control system
automatic sequential control system may trigger series mechanical actuators correct sequence perform task.example various electric pneumatic transducers may fold glue cardboard box fill product seal automatic packaging machine.plc software written many different ways – ladder diagrams sfc sequential function charts statement lists.on–off control on–off control uses feedback controller switches abruptly two states.simple bimetallic domestic thermostat described onoff controller.temperature room pv goes user setting sp heater switched on.
Control system
another example pressure switch air compressor.pressure pv drops setpoint sp compressor powered.refrigerators vacuum pumps contain similar mechanisms.simple on–off control systems like cheap effective.linear control linear control systems use negative feedback produce control signal maintain controlled pv desired sp.
Control system
several types linear control systems different capabilities.proportional control proportional control type linear feedback control system correction applied controlled variable proportional difference desired value sp measured value pv.two classic mechanical examples toilet bowl float proportioning valve flyball governor.the proportional control system complex on–off control system simpler proportionalintegralderivative pid control system used instance automobile cruise control.on–off control work systems require high accuracy responsiveness effective rapid timely corrections responses.proportional control overcomes modulating manipulated variable mv control valve gain level avoids instability applies correction fast practicable applying optimum quantity proportional correction.a drawback proportional control cannot eliminate residual sp–pv error requires error generate proportional output.
Control system
pi controller used overcome this.pi controller uses proportional term p remove gross error integral term eliminate residual offset error integrating error time.in systems practical limits range mv.example heater limit much heat produce valve open far.adjustments gain simultaneously alter range error values mv limits.width range units error variable therefore pv called proportional band pb.