plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | Space-at-VT/CubeSatRPO-master | newSatellite.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/newSatellite.m | 38,087 | utf_8 | 504be40e63fc280d09ae06194aac1dbd | %% New Satellite
classdef newSatellite < handle
%% Default properties of a basic 6u cubesat
properties
%% Model
name = 'CubeSat' %Satellite name
EOM = 'LERM' %Relative motion model
mode = 'approach' %Satellite objective
color = 'b' ... |
github | Space-at-VT/CubeSatRPO-master | MainRPOResults.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/MainRPOResults.m | 2,277 | utf_8 | 80074763056bcde88db8c14a7d657618 | function MainRPOResults
close all
V = (1:25);
hold on
grid on
xlabel('Constrained Volume, m^3')
ylabel('Fuel Used, g')
for ii = 1:length(V)
try
deputy = RPO(V(ii),0);
fuel(ii) = deputy.fuel(1)-deputy.fuel(end);
catch
fuel(ii) = NaN;
end
plot(V(ii),fuel(ii)*1e3,'ob')
drawnow... |
github | Space-at-VT/CubeSatRPO-master | LERM.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/LERM.m | 1,545 | utf_8 | 01f120dfc3ce1a637e1f95e542685cdb | function A = LERM(scenario,t)
% Orginal Author: Andrew C. Rogers
mu = scenario.mu;
a = scenario.a;
ecc = scenario.ecc;
nu = scenario.nu;
% Time varying coefficients and solution to Kepler's equation
n = sqrt(mu/a^3);
t0 = nu2t(n,nu,ecc);
M = n.*(t+t0);
[EccAnom,~] = kepler(M,ecc);
f = 2.*atan(sqrt((1+ecc)./(1-ecc)).*t... |
github | Space-at-VT/CubeSatRPO-master | satellite.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/satellite.m | 7,767 | utf_8 | b6f82b4e075800b647030f24fe8faa9e | classdef satellite
%satellite defines the properties of a satellite as well as its trajectory
% relative to the origin
% Default properties of a basic cubesat
properties
name = ''
EOM = 'HCW'
mode = 'approach'
color = 'b'
umax = 0.25 ... |
github | Space-at-VT/CubeSatRPO-master | mainAIAA2.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/mainAIAA2.m | 964 | utf_8 | d7da8c54a984db7ba139155191410ac6 | function mainAIAA2
clear,clc
close all
scenarioData = newScenario;
tspan = scenarioData.TP*(0.05:0.05:2);
format shorte
% Sweep
% dv = zeros(1,length(tspan));
% for ii = 1:length(tspan)
% dv(ii) = maneuver(tspan(ii));
% end
%
% figure(1)
% plot(tspan/scenarioData.TP,dv,'k','linewidth',1.5)
% grid on
% xlabel('Ti... |
github | Space-at-VT/CubeSatRPO-master | simpleEMU.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/simpleEMU.m | 5,151 | utf_8 | d82ec28b1670432d748cec5793dff358 | %% Bare bones version of Energey Management Unit
% Calculates the state of the charge of a battery given power generation
% from STK and power usage.
function simpleEMU(fileName)
% Battery parameters
SOC = 0.5; % State of charge (0-1)
nSeries = 1; % Number of modules
nPacks = 2; ... |
github | Space-at-VT/CubeSatRPO-master | phaseManeuver.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/phaseManeuver.m | 3,288 | utf_8 | 388d8fd56f69df71bf175e727f82306f | function phaseManeuver()
clc
close all
scenario = newScenario;
scenario.a = 7000e3;
tf = scenario.TP;
scenario.tmax = tf;
scenario.T = tf;
scenario.dt = 10;
scenario.ecc = 0.0;
sat = newSatellite;
sat.umax = 0.25;
sat.EOM = 'LERM';
sat.x = 0;
sat.y = -500;
sat.z = -200;
sat.vy = 0;
x0 = 50;
Xf =... |
github | Space-at-VT/CubeSatRPO-master | satellite.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/Archive/satellite.m | 7,545 | utf_8 | 2f79f6e4962264e1b25f153270d292f1 | classdef satellite
%satellite defines the properties of a satellite as well as its trajectory
% relative to the origin
% Default properties of a basic cubesat
properties
name = ''
EOM = 'HCW'
mode = 'approach'
color = 'b'
umax = 0.25 %N
... |
github | Space-at-VT/CubeSatRPO-master | quaterionsTest.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/Archive/quaterionsTest.m | 1,704 | utf_8 | 64368bca009b864fcaa6c62b50daace5 | function quaterionsTest
clear,clc
close all
tf = 500;
dt = 1;
w0 = [0.1,0,0]';
q0 = [0,0,0,1]';
y0 = [w0;q0];
I = 20/12*(0.3^2+0.3^2)*[1,1,1]';
I = 0.0225*[1,1,1]';
tspan = 0:dt:tf;
[t,y] = ode45(@(t,y)quaternions(t,y,I),tspan,y0);
w = y(:,1:3);
q = y(:,4:7);
figure
for ii = 1:size(q,1)
qi = q(ii,1:3)';
q4... |
github | Space-at-VT/CubeSatRPO-master | RPO_MILP_MPC.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/Archive/ProxOps_CollisionAvoidance/RPO_MILP_MPC.m | 25,388 | utf_8 | 5be851df56b7be274c459e08b37a1d98 | %% RPO_MILP_MPC(p0,v0,m) is a simulation of a 6U cubesat in proximity operation
% around a larger chief satellite. Model predictive control is used in
% conjunction with mixed integer linear programming to generate the cubesat
% trajectory optimizing primarily for fuel once the desired target position
% is achieved. T... |
github | Space-at-VT/CubeSatRPO-master | RPO_MILP_MPC.m | .m | CubeSatRPO-master/CubeSatProxOps/oldFunctions/ProxOps_CollisionAvoidance/RPO_MILP_MPC.m | 26,184 | utf_8 | de3f9d21be9c342e93a11495a229963e | %% RPO_MILP_MPC(p0,v0,m) is a simulation of a 6U cubesat in proximity operation
% around a larger chief satellite. Model predictive control is used in
% conjunction with mixed integer linear programming to generate the cubesat
% trajectory optimizing primarily for fuel once the desired target position
% is achieve... |
github | Space-at-VT/CubeSatRPO-master | buildSatelliteMPC_V3.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/buildSatelliteMPC_V3.m | 7,490 | utf_8 | f8b8adfc8224d5a48d1bc315fa1c517c | function [TrackingController,AttitudeController] = ...
buildSatelliteMPC_V3(Nt,At,Bt,Ct,Qt,Rt,Umax,Shuttle,...
maxTorque,Arot,Brot,Nr,Qr,Rr,timeHold,p,options)
if p == 1
fprintf('Using 1-norm Convex-Modulated Model Predictive Control\n\n')
[TrackingController] = ...
BuildMPC_Trajectory_T... |
github | Space-at-VT/CubeSatRPO-master | buildSatelliteMPC_SemivarU_V2.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/buildSatelliteMPC_SemivarU_V2.m | 5,240 | utf_8 | 7ec841da1cdaa795f37b39bc695269ff | function [TrackingController,AttitudeController] = ...
buildSatelliteMPC_SemivarU_V2(Nt,At,Bt,Ct,Qt,Rt,Umax,Umin,Shuttle,...
maxTorque,Arot,Brot,Nr,Qr,Rr,timeHold,p,options)
if p == 1
[TrackingController] = ...
BuildMPC_Trajectory_Tracker_OneNorm_SemivarU(Nt,At,Bt,Ct,Qt,Rt,Umax,Umin,Shuttle,options);... |
github | Space-at-VT/CubeSatRPO-master | TrackTraj_MPC_with_Thrust_Torques.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/TrackTraj_MPC_with_Thrust_Torques.m | 6,288 | utf_8 | 772651b974defebd5d482a19c4809398 | function [X,err,yaw,pitch,roll,yawdot,pitchdot,rolldot,Q,Thruster,Torques,deltaVTracking,mTrack,...
Xqt,Uqt,rotEnergy,tranEnergy,trajDiag,attDiag,trajObj,attObj,punt,pctPunt] = TrackTraj_MPC_with_Thrust_Torques(...
Time,d,Nt,ref,TrackingController,AttitudeController,nx,nu,ny,ntau,...
Nsim,Isp,g0,m0,Ts,Im... |
github | Space-at-VT/CubeSatRPO-master | buildSatelliteMPC_SemivarU_V4.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/buildSatelliteMPC_SemivarU_V4.m | 5,466 | utf_8 | db7ed571ca35a9f49ccb5f9676bd26b6 | function [TrackingController,AttitudeController] = ...
buildSatelliteMPC_SemivarU_V4(Nt,At,Bt,Ct,Qt,Rt,Umax,Umin,Shuttle,...
maxTorque,Arot,Brot,Nr,Qr,Rr,timeHold,p,options)
if p == 1
[TrackingController] = ...
BuildMPC_Trajectory_Tracker_OneNorm_SemivarU(Nt,At,Bt,Ct,Qt,Rt,Umax,Umin,Shuttle,options);... |
github | Space-at-VT/CubeSatRPO-master | TrackTraj_MPC_with_Thrust_Torques_Modulated.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/TrackTraj_MPC_with_Thrust_Torques_Modulated.m | 6,288 | utf_8 | 543029391557ddb3abf748e35a080f89 | function [X,err,yaw,pitch,roll,yawdot,pitchdot,rolldot,Q,Thruster,Torques,deltaVTracking,mTrack,...
Xqt,Uqt,rotEnergy,tranEnergy,trajDiag,attDiag,trajObj,attObj,punt,pctPunt] = TrackTraj_MPC_with_Thrust_Torques_Modulated(...
Time,d,Nt,ref,TrackingController,AttitudeController,nx,nu,ny,ntau,...
Nsim,Isp,g... |
github | Space-at-VT/CubeSatRPO-master | TotalFuel.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/TotalFuel.m | 427 | utf_8 | 4ed56bb4ed80a60d913df8c4b37dfe96 | function [fuelCost,dv,mt] = TotalFuel(Time,U,m0,Isp,g0,dt)
fuelCost = 0;
for ii = 1:length(Time)
fuelCost = fuelCost + norm(U(:,1),1);
end
mt = zeros(1,length(Time));
mt(1) = m0;
for ii = 1:length(Time)-1
ukn(ii) = norm(U(:,ii));
mt(ii+1) = mt(ii) + dt*(-ukn(ii)/(Isp*g0));
end
dv = deltaV(m0,... |
github | Space-at-VT/CubeSatRPO-master | attitudeInitialize.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/attitudeInitialize.m | 1,240 | utf_8 | 051c553144c280fdc68f15ece69e8787 | function [Q0,W0] = attitudeInitialize(yaw,pitch,roll,yawRate,pitchRate,rollRate,randflag)
if randflag == 1
yaw = (yaw + 1e0.*randn(1,1))*pi/180;
pitch = (pitch + 1e0.*randn(1,1))*pi/180;
roll = (roll + 1e0.*randn(1,1))*pi/180;
yawRate = (yawRate + 1e-1.*randn(1,1))*pi/180;
pitchR... |
github | Space-at-VT/CubeSatRPO-master | TrackTraj_MPC_with_Thrust_Torques_V2.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/TrackTraj_MPC_with_Thrust_Torques_V2.m | 6,328 | utf_8 | 2b9a5cb25bed2198be54fb8b4cf2963e | function [X,err,yaw,pitch,roll,yawdot,pitchdot,rolldot,Q,Thruster,Torques,deltaVTracking,mTrack,...
Xqt,Uqt,rotEnergy,tranEnergy,trajDiag,attDiag,trajObj,attObj,punt,pctPunt] = TrackTraj_MPC_with_Thrust_Torques_V2(...
Time,d,Nt,ref,Uk,TrackingController,AttitudeController,nx,nu,ny,ntau,...
Nsim,Isp,g0,m0... |
github | Space-at-VT/CubeSatRPO-master | getCoupledSystemJacobians.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/getCoupledSystemJacobians.m | 1,219 | utf_8 | 7b449e248444246eeabb2f3c72daef57 | function [A,B] = getCoupledSystemJacobians(Imat,m,n,rho)
r1x = rho(1);
r1z = rho(2);
r2x = rho(3);
r2y = rho(4);
r3y = rho(5);
r3z = rho(6);
r4y = rho(7);
r4z = rho(8);
r5x = rho(9);
r5y = rho(10);
r6x = rho(11);
r6z = rho(12);
Ahcw = getHCW_Amat(n);
[Aquat,Bquat] = getAmat_Quat(n,Imat);
Bhcw = [ze... |
github | Space-at-VT/CubeSatRPO-master | TrackTraj_MPC_with_Thrust_Torques_Modulated_V2.m | .m | CubeSatRPO-master/ARsatcodes/MPC_MILP/TrackTraj_MPC_with_Thrust_Torques_Modulated_V2.m | 6,324 | utf_8 | 8a764e89e31f030e8615d6c71ec2d65b | function [X,err,yaw,pitch,roll,yawdot,pitchdot,rolldot,Q,Thruster,Torques,deltaVTracking,mTrack,...
Xqt,Uqt,rotEnergy,tranEnergy,trajDiag,attDiag,trajObj,attObj,punt,pctPunt] = TrackTraj_MPC_with_Thrust_Torques_Modulated_V2(...
Time,d,Nt,ref,Uk,TrackingController,AttitudeController,nx,nu,ny,ntau,...
Nsim... |
github | Space-at-VT/CubeSatRPO-master | TwoBodyOrbit.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryTracking/TwoBodyOrbit.m | 19,885 | utf_8 | 2b36802784ec7f81cf6c1c967eb3dc3b | classdef TwoBodyOrbit < handle
% This is a basic two-body orbit perturbed by J2. The user is required only
% to input the initial orbit based on Kepler elements, a few physical
% parameters, and the total time of flight.
%
% Author: Andrew Rogers, Ph.D.
% Date: 29 March 2016
%
... |
github | Space-at-VT/CubeSatRPO-master | MPCTracking_HCW.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryTracking/MPCTracking_HCW.m | 6,327 | utf_8 | c92846e93b9e8487b039cf691ef204b1 | classdef MPCTracking_HCW < handle
% Dylan -
% This is good, but it doesn't actually have the simulation in it.
% Needs commets too.
properties
X
U
T
Ref
URef
TRef
optimalObjective
N % Horizon
dt
ny
Q
R
M... |
github | Space-at-VT/CubeSatRPO-master | NonlinearFormationFlyingEquations.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/LERM_NERM_Sims/NonlinearFormationFlyingEquations.m | 1,884 | utf_8 | 8f29b54b8eca0cde57e4ea9b16de0817 | function DX = NonlinearFormationFlyingEquations(t,X,mu,a,ecc)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code is provided 'as-is' for use with AOE 5234: Orbital Mechanics.
% Numerical accuracy is guaranteed only to within the bounds specified by
% The MathWorks Inc.
%
% A... |
github | Space-at-VT/CubeSatRPO-master | BrouckeSTM.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/LERM_NERM_Sims/BrouckeSTM.m | 3,804 | utf_8 | a4b4260081b1b180a96c84b19c6ded50 | function Phi_Broucke = BrouckeSTM(tspan,mu,a,ecc,omega)
% Dylan - Needs commenting and double checking..
n = sqrt(mu/a^3);
eta = sqrt(1-ecc^2);
p = a*(1-ecc^2);
t0 = tspan(1);
Phi_Broucke = zeros(6,6,length(tspan));
for ii = 1:length(tspan)
dt = tspan(ii)-t0;
[r,~,theta,~,~,EccAnom] = polarParams(d... |
github | Space-at-VT/CubeSatRPO-master | LinearFormationFlyingEquations.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/LERM_NERM_Sims/LinearFormationFlyingEquations.m | 1,698 | utf_8 | 8179c3b60cbc261bdb6556b3d50f36da | function DX = LinearFormationFlyingEquations(t,X,mu,a,ecc)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code is provided 'as-is' for use with AOE 5234: Orbital Mechanics.
% Numerical accuracy is guaranteed only to within the bounds specified by
% The MathWorks Inc.
%
% Auth... |
github | Space-at-VT/CubeSatRPO-master | RelativeMotion.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/LERM_NERM_Sims/RelativeMotion.m | 4,671 | utf_8 | 26ecc364d861251a86aee71c524bd11c | classdef RelativeMotion < handle
%% RelativeMotion class
%
% Dylan - This is a good example of how to define/setup a class.
%
% This is a simple class to propagate the linear and nonlinear equations of
% relative motion for spacecraft formation flying.
%
% Author: Andrew Rogers
% Date: 11 April 2016
%
... |
github | Space-at-VT/CubeSatRPO-master | makeCheckbox.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/AuxiliaryFunctions/makeCheckbox.m | 410 | utf_8 | 9b368362002a5631a43a60910ed7fd38 | function ui = makeCheckbox(parent,value,left,top,callback,width,height)
if nargin < 5
callback = @nothing;
end
if nargin < 6
width = 15;
end
if nargin < 7
height = 15;
end
parentHeight = getHeight(parent);
ui = uicontrol('parent',parent,'style','checkbox','value',value,'position',[left,pare... |
github | Space-at-VT/CubeSatRPO-master | makeComboBox.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/AuxiliaryFunctions/makeComboBox.m | 472 | utf_8 | 4954aab47a5bdc5374a5a2fa2cfa347f | function ui = makeComboBox(parent,value,left,top,callback,width,height)
if nargin < 5
callback = @nothing;
end
if nargin < 6
width = 150;
end
if nargin < 7
height = 20;
end
parentHeight = getHeight(parent);
ui = uicontrol('parent',parent,'style','popupmenu','string',value,'Position',[le... |
github | Space-at-VT/CubeSatRPO-master | makeListbox.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/AuxiliaryFunctions/makeListbox.m | 410 | utf_8 | b0aedee92f68c74a27af3fc7265f3f17 | function ui = makeListbox(parent,left,top,callback,width,height)
if nargin < 4
callback = @nothing;
end
if nargin < 5
width = 200;
end
if nargin < 6
height = 250;
end
parentHeight = getHeight(parent);
ui = uicontrol('Parent',parent,'style','listbox','Position',[left parentHeight-height-top,... |
github | Space-at-VT/CubeSatRPO-master | TwoBodyOrbit.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/OrbitFunctions/TwoBodyOrbit.m | 19,655 | utf_8 | 495f04ab612ea0deb44d013507061670 | classdef TwoBodyOrbit < handle
% This is a basic two-body orbit perturbed by J2. The user is required only
% to input the initial orbit based on Kepler elements, a few physical
% parameters, and the total time of flight.
%
% Author: Andrew Rogers, Ph.D.
% Date: 29 March 2016
%
... |
github | Space-at-VT/CubeSatRPO-master | oe2rv.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/OrbitFunctions/oe2rv.m | 3,281 | utf_8 | cd0b9505d7e0c0577c8e568f45e075ca | function [r,v] = oe2rv(elements,mu,flag)
% This function converts the Keplerian elements to the Cartesian state
% vector. From Fundamentals of Astrodynamics with Applications,...
% David Vallado, 2007., pp.126-127, Algorithm 10.
%
% AC Rogers 14 Feb 2013
%
% Inputs:
% p = parameter
% ecc = eccentricity
% in... |
github | Space-at-VT/CubeSatRPO-master | GaussVariationalEquations.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/OrbitFunctions/GaussVariationalEquations.m | 3,760 | utf_8 | 702f20253bed5e37fbded58e6f7404e4 | function DX = GaussVariationalEquations(t,X,req,mu,J2flag,flag)
% This function contains the necessary procedures for computing Gauss'
% Variation of Parameters. Equations derived from Battin (1987), Schaub and
% Junkins (2009) and Vallado (2007). This function also contains the
% differential equation used to de... |
github | Space-at-VT/CubeSatRPO-master | orbitEquation.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/GUI/OrbitFunctions/orbitEquation.m | 698 | utf_8 | b822a8a5e3e1297e1c36c71fc5c65f92 | function DX = orbitEquation(t,x,mu,J2,Req)
% Main function to integrate the orbital equation of motion with the
% influence of J2
% Author: Andrew Rogers, Ph.D.
% Date: 29 March 2016
%
% State vector
r = x(1:3,1);
v = x(4:6,1);
R = norm(r); % Magnitude of R
% Return J2 acceleration
aj2 = J2Vector(mu,r,J2... |
github | Space-at-VT/CubeSatRPO-master | oe2rv.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/Gim_Alfriend_STM/oe2rv.m | 3,281 | utf_8 | cd0b9505d7e0c0577c8e568f45e075ca | function [r,v] = oe2rv(elements,mu,flag)
% This function converts the Keplerian elements to the Cartesian state
% vector. From Fundamentals of Astrodynamics with Applications,...
% David Vallado, 2007., pp.126-127, Algorithm 10.
%
% AC Rogers 14 Feb 2013
%
% Inputs:
% p = parameter
% ecc = eccentricity
% in... |
github | Space-at-VT/CubeSatRPO-master | LinearFormationFlyingEquations.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/Gim_Alfriend_STM/LinearFormationFlyingEquations.m | 1,698 | utf_8 | 8179c3b60cbc261bdb6556b3d50f36da | function DX = LinearFormationFlyingEquations(t,X,mu,a,ecc)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code is provided 'as-is' for use with AOE 5234: Orbital Mechanics.
% Numerical accuracy is guaranteed only to within the bounds specified by
% The MathWorks Inc.
%
% Auth... |
github | Space-at-VT/CubeSatRPO-master | GimAlfriendSTM.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/Gim_Alfriend_STM/GimAlfriendSTM.m | 44,339 | utf_8 | 9510cee806c25b36f369bea1529223ef | classdef GimAlfriendSTM < handle
% Dylan - Removed FormationFlying handle...Checkout if useful later?
%% Gim-Alfriend State Transition Matrix Class
%
% This class contains the GA_STMects necessary to propagate the Gim-Alfriend
% STM (Gim and Alfriend, 2003). The class accepts chief element
% descriptions of C... |
github | Space-at-VT/CubeSatRPO-master | PHI_GA_STM.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/Gim_Alfriend_STM/PHI_GA_STM.m | 37,386 | utf_8 | 441647be499e46f7a82bf5e701bf5388 | function PhiJ2 = PHI_GA_STM(t,J2,ChiefOsc,ChiefNSMean,Req,mu,tol)
% Function computes the Gim-Alfriend State Transition Matrix for the
% initial chief orbital elements over the time span t:
%
% Inputs:
% t = vector of time values (seconds)
% J2 = 1082.63e-6, zonal coefficient
%... |
github | Space-at-VT/CubeSatRPO-master | hcwOpt.m | .m | CubeSatRPO-master/ARsatcodes/Individual_Codes/OptManeuverCodes/hcwOpt.m | 26,876 | utf_8 | 7f8bd8bd8191a29dad41e3cca1e92927 | classdef hcwOpt < handle
% Dylan - This is mostly done. Should review it, and get the
% feasibleTime stuff working...
%
%
% This class constructs a fully-actuated or under-actuated, minimum-fuel
% transfer for the HCW equations.
properties
mu % gravitational ... |
github | Space-at-VT/CubeSatRPO-master | OrbitPlotter.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/OrbitPlotter.m | 7,551 | utf_8 | af5cdbeb4ce6dcb067644c77aebe61c7 | classdef OrbitPlotter < handle
properties
States
StatesQ
Controls
ControlsQ
Points
Time
plotLinesStates
plotLineStatesMods
plotLineStatesSizes
plotLinesStatesQ
plotLineStatesQMods
p... |
github | Space-at-VT/CubeSatRPO-master | ConvexSFFManeuver.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/ConvexSFFManeuver.m | 12,497 | utf_8 | 966e0c327bea5be74cd4b33249a668b2 | classdef ConvexSFFManeuver < handle
properties
X
U
T
Xq
Uq
optimalObjective
samples
t0
dt
tf
umax
umin
B
numInput
numState
X0
... |
github | Space-at-VT/CubeSatRPO-master | OptimalManeuver.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/OptimalManeuver.m | 6,573 | utf_8 | 5bc4940f6c3a87fb7574e7708df8a40f | classdef OptimalManeuver < handle
properties
X
U
T
Xq
Uq
optimalObjective
samples
t0
dt
tf
umax
umin
B
numInput
numState
X0
Xf... |
github | Space-at-VT/CubeSatRPO-master | makeSpaceShuttle.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/makeSpaceShuttle.m | 1,459 | utf_8 | eef7b02fe465736c38c0bce4633b5727 | function makeSpaceShuttle
plotShuttle(0,0,0,0,-pi/2,pi/2,0.0487,1e-3,[1,1,0.5])
end
function plotShuttle(x,y,z,pitch,roll,yaw,scale_factor,step,cv)
load shuttle;
V = [-V(:,2) V(:,1) V(:,3)];
V(:,1) = V(:,1)-round(sum(V(:,1))/size(V,1));
V(:,2) = V(:,2)-round(sum(V(:,2))/size(V,1));
V(:,3) = V(:,3)-round(sum(V... |
github | Space-at-VT/CubeSatRPO-master | HCW.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/Models/HCW.m | 2,322 | utf_8 | c2fb7df70ddcc3fad148be3f264728c1 | classdef HCW < handle
properties
mu
a
initialCondition
terminalCondition
n
period
samples
t0
dt
tf
time
Phi
A
B
X
Ak
Bk
end
... |
github | Space-at-VT/CubeSatRPO-master | GimAlfriendSTM.m | .m | CubeSatRPO-master/ARsatcodes/TrajectoryOptimization/Models/GimAlfriendSTM.m | 46,954 | utf_8 | f38e862aeccec1789b03839729bdd41a | classdef GimAlfriendSTM < handle
%% Gim-Alfriend State Transition Matrix Class
%
% This class contains the objects necessary to propagate the Gim-Alfriend
% STM (Gim and Alfriend, 2003). The class accepts chief element
% descriptions of Classical or Nonsingular, and relative deputy state
%... |
github | ringothom/MHE-master | ica.m | .m | MHE-master/MHEMetaheuristicEnsembles/ica.m | 11,413 | utf_8 | 09b5998474aba8c723b9286cc9098eac | % Project Code: YPEA118
% Project Title: Implementation of Imperialist Competitive Algorithm (ICA)
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All ... |
github | ringothom/MHE-master | abc.m | .m | MHE-master/MHEMetaheuristicEnsembles/abc.m | 6,282 | utf_8 | 19872a9239644fd865b216f9463ff7c8 | % Project Code: YPEA114
% Project Title: Implementation of Artificial Bee Colony in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All rights r... |
github | ringothom/MHE-master | ca.m | .m | MHE-master/MHEMetaheuristicEnsembles/ca.m | 7,240 | utf_8 | 1dc09b6e81edf8efbc24dd23eee958cb | % Project Code: YPEA125
% Project Title: Implementation of Cultural Algorithm in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All rights rese... |
github | ringothom/MHE-master | es1p1.m | .m | MHE-master/MHEMetaheuristicEnsembles/es1p1.m | 2,796 | utf_8 | 16cf45dda719f4b4b9ccde8d1ad52726 | % This algorithm implements the simplest of all "evolution strategies"
% (ES), the (1+1)-ES. In each iteration, one parent is used to create
% one offspring using a Gaussian mutation operator (A random gaussian
% variable with mean zero and standard deviation 'sigma').
% Bibliography:
%
% - KALYANMO... |
github | ringothom/MHE-master | bbo.m | .m | MHE-master/MHEMetaheuristicEnsembles/bbo.m | 5,588 | utf_8 | dcb797f3634b480bdc8558ab71192b1e | % Project Code: YPEA113
% Project Title: Biogeography-Based Optimization (BBO) in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All rights res... |
github | ringothom/MHE-master | hs.m | .m | MHE-master/MHEMetaheuristicEnsembles/hs.m | 5,432 | utf_8 | 0686b9cab4bbb43ddad627c3588c09fe | % Project Code: YPEA117
% Project Title: Implementation of Harmony Search in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All rights reserved... |
github | ringothom/MHE-master | fn_hmeasure.m | .m | MHE-master/MHEMetaheuristicEnsembles/fn_hmeasure.m | 10,367 | utf_8 | 79ee4246142d1752921c5e6e00d1c2b3 | function hm = fn_hmeasure(x,pred,obs)
% fitness function: H measure
% input: weights vector, prediction matrix, observations vector
% output: H measure (maximize for maximizing accuracy)
x = x/sum(x);
weightPred = bsxfun(@times,pred,x);
sumPred = sum(weightPred,2);
hm = hmeasure(obs,... |
github | ringothom/MHE-master | de.m | .m | MHE-master/MHEMetaheuristicEnsembles/de.m | 4,647 | utf_8 | 986c1107d68f48ade316202f6fe42618 | % Project Code: YPEA107
% Project Title: Implementation of Differential Evolution (DE) in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All ri... |
github | ringothom/MHE-master | tlbo.m | .m | MHE-master/MHEMetaheuristicEnsembles/tlbo.m | 5,670 | utf_8 | 998dc1c8af24fbb3589c444eb0f0d113 | % Project Code: YPEA111
% Project Title: Implementation of TLBO in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All rights reserved.
Redis... |
github | ringothom/MHE-master | sce.m | .m | MHE-master/MHEMetaheuristicEnsembles/sce.m | 7,832 | utf_8 | 4825d46ba58db278db202c493dc647a2 | % Project Code: YPEA110
% Project Title: Implementation of Shuffled Complex Evolution (SCE-UA)
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All righ... |
github | ringothom/MHE-master | cmaes.m | .m | MHE-master/MHEMetaheuristicEnsembles/cmaes.m | 6,536 | utf_8 | 68ebd668d0acac202f9145d91fc216ce | % Project Code: YPEA108
% Project Title: Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Contact Info: sm.kalami@gmail.com, info@yarpiz.com
%
%{
Copyright (c) 2015, Yarpiz (www.yarpiz.com)
All r... |
github | ringothom/MHE-master | fireflyalgorithm.m | .m | MHE-master/MHEMetaheuristicEnsembles/fireflyalgorithm.m | 5,723 | utf_8 | d8aabd9b6dad3ecfa8e9c236442d6721 | %
% Copyright (c) 2015, Yarpiz (www.yarpiz.com)
% All rights reserved. Please read the "license.txt" for license terms.
%
% Project Code: YOEA112
% Project Title: Implementation of Firefly Algorithm (FA) in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Te... |
github | ringothom/MHE-master | aco.m | .m | MHE-master/MHEMetaheuristicEnsembles/aco.m | 5,735 | utf_8 | b60ac935d617f6570780b0cb677d24af | % Copyright (c) 2015, Yarpiz (www.yarpiz.com)
% All rights reserved. Please read the "license.txt" for license terms.
%
% Project Code: YPEA104
% Project Title: Ant Colony Optimization for Continuous Domains (ACOR)
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Te... |
github | ringothom/MHE-master | bsa.m | .m | MHE-master/MHEMetaheuristicEnsembles/bsa.m | 6,088 | utf_8 | 0f69019f2a515ae12abba12bffe18d32 | %{
Backtracking Search Optimization Algorithm (BSA)
Platform: Matlab 2013a
Cite this algorithm as;
[1] P. Civicioglu, "Backtracking Search Optimization Algorithm for
numerical optimization problems", Applied Mathematics and Computation, 219, 81218144, 2013.
Copyright Notice
Copyright (c) 2012, Pin... |
github | vyoussofzadeh/SINEAD_tool-master | cfg_getfile.m | .m | SINEAD_tool-master/external/spm/cfg_getfile.m | 51,231 | utf_8 | 2b8227dc8614e49e7c17ac2771988a19 | function [t,sts] = cfg_getfile(varargin)
% File selector
% FORMAT [t,sts] = cfg_getfile(n,typ,mesg,sel,wd,filt,prms)
% n - Number of files
% A single value or a range. e.g.
% 1 - Select one file
% Inf - Select any number of files
% [1 Inf] - Select 1 to Inf ... |
github | vyoussofzadeh/SINEAD_tool-master | initialise.m | .m | SINEAD_tool-master/external/spm/@cfg_branch/initialise.m | 2,320 | utf_8 | e33a8c7707d19f85627dd03955ff79cb | function item = initialise(item, val, dflag)
% function item = initialise(item, val, dflag)
% Initialise a configuration tree with values. If val is a job
% struct/cell, only the parts of the configuration that are present in
% this job will be initialised.
% If val has the special value '<DEFAULTS>', the entire confi... |
github | vyoussofzadeh/SINEAD_tool-master | num2str.m | .m | SINEAD_tool-master/external/spm/private/num2str.m | 6,229 | utf_8 | 35ba81d9ba6b78d182aa2136612ac3b2 | function s = num2str(x, f)
%NUM2STR Convert numbers to a string.
% T = NUM2STR(X) converts the matrix X into a string representation T
% with about 4 digits and an exponent if required. This is useful for
% labeling plots with the TITLE, XLABEL, YLABEL, and TEXT commands.
%
% T = NUM2STR(X,N) converts the matr... |
github | vyoussofzadeh/SINEAD_tool-master | inputdlg.m | .m | SINEAD_tool-master/external/spm/private/inputdlg.m | 12,452 | utf_8 | e9d80a588d04401cefdb88a9ff95f996 | function Answer=inputdlg(Prompt, Title, NumLines, DefAns, Resize)
%INPUTDLG Input dialog box.
% ANSWER = INPUTDLG(PROMPT) creates a modal dialog box that returns user
% input for multiple prompts in the cell array ANSWER. PROMPT is a cell
% array containing the PROMPT strings.
%
% INPUTDLG uses UIWAIT to suspend ex... |
github | vyoussofzadeh/SINEAD_tool-master | cfg_justify.m | .m | SINEAD_tool-master/external/spm/private/cfg_justify.m | 4,781 | utf_8 | f35de815dab47aff40ab2987909d5f26 | function out = cfg_justify(varargin)
% CFG_JUSTIFY Justifies a text string
% OUT = CFG_JUSTIFY(N,TXT) justifies text string TXT to
% the length specified by N.
%
% OUT = CFG_JUSTIFY(OBJ,TXT), where OBJ is a handle to a 'listbox' style
% uicontrol, justifies text string TXT to the width of the OBJ in
% ch... |
github | vyoussofzadeh/SINEAD_tool-master | listdlg.m | .m | SINEAD_tool-master/external/spm/private/listdlg.m | 8,479 | utf_8 | 9e6dc823af689b0c265f2631948dbc5d | function [selection,value] = listdlg(varargin)
%LISTDLG List selection dialog box.
% [SELECTION,OK] = LISTDLG('ListString',S) creates a modal dialog box
% which allows you to select a string or multiple strings from a list.
% SELECTION is a vector of indices of the selected strings (length 1 in
% the single se... |
github | vyoussofzadeh/SINEAD_tool-master | resolve_deps.m | .m | SINEAD_tool-master/external/spm/@cfg_item/resolve_deps.m | 3,618 | utf_8 | 436b23723204757dca38afc10caccc02 | function [val, sts] = resolve_deps(item, cj)
% function [val, sts] = resolve_deps(item, cj)
% Resolve dependencies for an cfg item. This is a generic function that
% returns the contents of item.val{1} if it is an array of cfg_deps. If
% there is more than one dependency, they will be resolved in order of
% appearance... |
github | vyoussofzadeh/SINEAD_tool-master | barwitherr.m | .m | SINEAD_tool-master/external/other/barwitherr.m | 5,693 | utf_8 | 26b33c234ea231512d24b3c792823f3b | %**************************************************************************
%
% This is a simple extension of the bar plot to include error bars. It
% is called in exactly the same way as bar but with an extra input
% parameter "errors" passed first.
%
% Parameters:
% errors - the errors to be plotted (extra... |
github | vyoussofzadeh/SINEAD_tool-master | gridLegend.m | .m | SINEAD_tool-master/external/other/gridLegend.m | 13,379 | utf_8 | 16eb6e1b02fdd27bd0240eda2a5e3d04 | % gridLegend : plots a legend in a multi column format
%
% On a plot with a lot of traces the standard legend will often scroll off the bottom or the side of the figure,
% this function is intended to overcome this by allowing the user to define a multi column format for the
% legend.
%
% Usage : legHdl = gridLegend(... |
github | vyoussofzadeh/SINEAD_tool-master | subdir.m | .m | SINEAD_tool-master/external/other/subdir.m | 1,218 | utf_8 | 9c025158b1ea540152ec4af07a91313a | function [sub,fls] = subdir(CurrPath)
% SUBDIR lists (recursive) all subfolders and files under given folder
%
% SUBDIR
% returns all subfolder under current path.
%
% P = SUBDIR('directory_name')
% stores all subfolders under given directory into a variable 'P'
%
% [P F] = SUBDIR('directory_... |
github | vyoussofzadeh/SINEAD_tool-master | f_correction.m | .m | SINEAD_tool-master/external/other/f_correction.m | 206 | utf_8 | eea0fa505b1782acd63a884911254a8e |
% example
% f = [2,2,1,-4;5,-4,1,5]';
function [L,f_cor] = f_correction(f)
f_cor = f;
for i=1:size(f_cor,2)
m = f_cor (:,i)== -4;
f_cor (m,i)= mode(f_cor (~m,i));
end
L = length(find(m==1));
end
|
github | jadhavan/AI-Project-master | getKeyPoints.m | .m | AI-Project-master/matlab_Keypointdetection/getKeyPoints.m | 1,214 | utf_8 | 3ac004c4a44709cd5578bbfa2ae74af0 | % This function takes an image file and returns its keypoint data.
% This is adapted from demo.m
function [kpx, kpy, kpname] = getKeyPoints(filename)
% Update these according to your requirements
USE_GPU = 0; % 1 for GPU
img_fn = char(filename); %sample_img.png
DEMO_BASEDIR = pwd;
DEMO_MODEL_FN = fullfile(DEMO_BASE... |
github | jadhavan/AI-Project-master | vl_nnloss.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/vl_nnloss.m | 11,212 | utf_8 | e4c325752a9cddab59f01afa0d561ea1 | function y = vl_nnloss(x,c,dzdy,varargin)
%VL_NNLOSS CNN categorical or attribute loss.
% Y = VL_NNLOSS(X, C) computes the loss incurred by the prediction
% scores X given the categorical labels C.
%
% The prediction scores X are organised as a field of prediction
% vectors, represented by a H x W x D x N array... |
github | jadhavan/AI-Project-master | vl_nnstructloss.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/vl_nnstructloss.m | 4,576 | utf_8 | 84674b6e27ad2454930f5fb7fdb9b42d | function [YA, YB] = vl_nnstructloss(XA, XB, c, dzdy, varargin)
opts.loss = 'strloss' ;
opts.iter=0;
opts.bodyPairs=[];
opts.trf=[];
opts.N_modes = 5;
opts = vl_argparse(opts,varargin) ;
marg = 30;
backFlg = 0;
YA=0;
YB=0;
XA = gather(XA);
XB = gather(XB);
n=0;
switch lower(opts.loss)
case {'strloss'}
... |
github | jadhavan/AI-Project-master | vl_compilenn.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/vl_compilenn.m | 28,864 | utf_8 | 5c0ad6564601bc9237139223229ba05a | function vl_compilenn(varargin)
%VL_COMPILENN Compile the MatConvNet toolbox.
% The `vl_compilenn()` function compiles the MEX files in the
% MatConvNet toolbox. See below for the requirements for compiling
% CPU and GPU code, respectively.
%
% `vl_compilenn('OPTION', ARG, ...)` accepts the following options:
%... |
github | jadhavan/AI-Project-master | vl_nntukeyloss.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/vl_nntukeyloss.m | 2,780 | utf_8 | 2f77201898aeaba898c567711b8076ae | function Y = vl_nntukeyloss(X,c,iter,scbox, dzdy, varargin)
%Created by Vasileios Belagiannis.
%Contact: vb@robots.ox.ac.uk
%Only the l2loss for the heatmaps is included. The tukeyloss is in the
%following repo: https://github.com/bazilas/matconvnet-deepReg
opts.loss = 'l2loss-heatmap' ;
opts.lossWeight=1;
opts.ignOc... |
github | jadhavan/AI-Project-master | getVarReceptiveFields.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/+dagnn/@DagNN/getVarReceptiveFields.m | 3,549 | utf_8 | ca843d13890184e1451248f43f7d4011 | function rfs = getVarReceptiveFields(obj, var)
%GETVARRECEPTIVEFIELDS Get the receptive field of a variable
% RFS = GETVARRECEPTIVEFIELDS(OBJ, VAR) gets the receptivie fields RFS of
% all the variables of the DagNN OBJ into variable VAR. VAR is a variable
% name or index.
%
% RFS has one entry for each variable... |
github | jadhavan/AI-Project-master | rebuild.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/+dagnn/@DagNN/rebuild.m | 3,103 | utf_8 | 2051dfdfff3e31e12ab7ac483c251515 | function rebuild(obj)
%REBUILD Rebuild the internal data structures of a DagNN object
% REBUILD(obj) rebuilds the internal data structures
% of the DagNN obj. It is an helper function used internally
% to update the network when layers are added or removed.
varFanIn = zeros(1, numel(obj.vars)) ;
varFanOut = zero... |
github | jadhavan/AI-Project-master | print.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/+dagnn/@DagNN/print.m | 13,386 | utf_8 | 069dfa6b59cf037487bd9462bf8c21e7 | function str = print(obj, inputSizes, varargin)
%PRINT Print information about the DagNN object
% PRINT(OBJ) displays a summary of the functions and parameters in the network.
% STR = PRINT(OBJ) returns the summary as a string instead of printing it.
%
% PRINT(OBJ, INPUTSIZES) where INPUTSIZES is a cell array of ... |
github | jadhavan/AI-Project-master | fromSimpleNN.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/+dagnn/@DagNN/fromSimpleNN.m | 8,556 | utf_8 | 1d771e348cbe0495c96bd558ee2d017a | function obj = fromSimpleNN(net, varargin)
% FROMSIMPLENN Initialize a DagNN object from a SimpleNN network
% FROMSIMPLENN(NET) initializes the DagNN object from the
% specified CNN using the SimpleNN format.
%
% SimpleNN objects are linear chains of computational layers. These
% layers exchange information th... |
github | jadhavan/AI-Project-master | vl_simplenn_display.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/simplenn/vl_simplenn_display.m | 12,389 | utf_8 | bd99c027519a637b853c5a096f1a79b1 | function [info, str] = vl_simplenn_display(net, varargin)
%VL_SIMPLENN_DISPLAY Display the structure of a SimpleNN network.
% VL_SIMPLENN_DISPLAY(NET) prints statistics about the network NET.
%
% INFO = VL_SIMPLENN_DISPLAY(NET) returns instead a structure INFO
% with several statistics for each layer of the netw... |
github | jadhavan/AI-Project-master | vl_test_economic_relu.m | .m | AI-Project-master/matlab_Keypointdetection/lib/matconvnet-custom/matlab/xtest/vl_test_economic_relu.m | 790 | utf_8 | 35a3dbe98b9a2f080ee5f911630ab6f3 | % VL_TEST_ECONOMIC_RELU
function vl_test_economic_relu()
x = randn(11,12,8,'single');
w = randn(5,6,8,9,'single');
b = randn(1,9,'single') ;
net.layers{1} = struct('type', 'conv', ...
'filters', w, ...
'biases', b, ...
'stride', 1, ...
... |
github | wittfabian/eapso-matlab-master | string2hash.m | .m | eapso-matlab-master/string2hash.m | 451 | utf_8 | f11889c92dd5e001bd655009afbfa94e | %STRING2HASH Convert a string to a 64 char hex hash string (256 bit hash)
%
% hash = string2hash(string)
%
%IN:
% string - a string!
%
%OUT:
% hash - a 64 character string, encoding the 256 bit SHA hash of string
% in hexadecimal.
function hash = string2hash(string)
persistent md
if isempty(md)
md =... |
github | samerlahoud/wireless-simulator-ua-pc-master | gee_objective_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/gee_objective_computation.m | 521 | utf_8 | e952c73ab5357a3666388203afa0a746 | % Compute GEE objective based on power allocation and SINR values
function [objective] = gee_objective_computation(sinr_matrix, power_allocation_matrix)
% Venturino objective
global netconfig;
nb_sectors=netconfig.nb_sectors;
power_prop_coeff = netconfig.power_prop_coeff;
power_indep_coeff=netconfig.power_indep_coeff;... |
github | samerlahoud/wireless-simulator-ua-pc-master | scheduling_objective_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/scheduling_objective_computation.m | 620 | utf_8 | 790cc92de6918712a1cba49d986d5ad8 | % Compute EE objective based on power allocation and SINR values
function [objective] = scheduling_objective_computation
global netconfig;
nb_sectors=netconfig.nb_sectors;
nb_users_per_sector=netconfig.nb_users_per_sector;
nb_RBs = netconfig.nb_RBs;
log_sum_theta=0;
%beware of distributed_gt_ee_maxlog_sinr_power_allo... |
github | samerlahoud/wireless-simulator-ua-pc-master | ee_bs_objective_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/ee_bs_objective_computation.m | 657 | utf_8 | 1c4dfd974c160620e9e02a993d823bd2 | % Compute per BS EE objective based on power allocation and SINR values
function [objective] = ee_bs_objective_computation(BS, sinr_matrix, power_allocation_matrix)
global netconfig;
nb_sectors=netconfig.nb_sectors;
nb_RBs=netconfig.nb_RBs;
power_prop_coeff = netconfig.power_prop_coeff;
power_indep_coeff=netconfig.pow... |
github | samerlahoud/wireless-simulator-ua-pc-master | se_objective_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/se_objective_computation.m | 416 | utf_8 | 544b9e3619d8d56402fd647955b6eb72 | % Compute SE (numerator in EE objective) based on SINR values
function [objective] = se_objective_computation(sinr_matrix)
global netconfig;
nb_sectors=netconfig.nb_sectors;
power_prop_coeff = netconfig.power_prop_coeff;
power_indep_coeff=netconfig.power_indep_coeff;
log_sinr=sum(sum(sum(log(sinr_matrix(sinr_matrix>0... |
github | samerlahoud/wireless-simulator-ua-pc-master | sinr_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/sinr_computation.m | 814 | utf_8 | cc1901d0c80957411b4fcfd15ba2e18e | % Compute SINR based on power allocation
function [sinr_matrix] = sinr_computation(pathloss_matrix, BS, power_allocation_matrix)
global netconfig;
nb_sectors = netconfig.nb_sectors;
nb_RBs=netconfig.nb_RBs;
noise_density=netconfig.noise_density;
RB_bandwidth=netconfig.RB_bandwidth;
total_nb_users=netconfig.total_nb_us... |
github | samerlahoud/wireless-simulator-ua-pc-master | ee_objective_computation.m | .m | wireless-simulator-ua-pc-master/helper_functions/ee_objective_computation.m | 563 | utf_8 | 908b8c56a7dac464bd3c8df17666272e | % Compute EE objective based on power allocation and SINR values
function [objective] = ee_objective_computation(sinr_matrix, power_allocation_matrix)
global netconfig;
nb_sectors=netconfig.nb_sectors;
power_prop_coeff = netconfig.power_prop_coeff;
power_indep_coeff=netconfig.power_indep_coeff;
log_sinr=sum(sum(sum(l... |
github | samerlahoud/wireless-simulator-ua-pc-master | barwitherr.m | .m | wireless-simulator-ua-pc-master/plot_library/barwitherr.m | 6,062 | utf_8 | 894962c3205f5ba925dd59c84274e516 | %**************************************************************************
%
% This is a simple extension of the bar plot to include error bars. It
% is called in exactly the same way as bar but with an extra input
% parameter "errors" passed first.
%
% Parameters:
% errors - the errors to be plotted (extra... |
github | samerlahoud/wireless-simulator-ua-pc-master | adjustedboxplot.m | .m | wireless-simulator-ua-pc-master/plot_library/adjustedboxplot.m | 23,592 | utf_8 | c0b2692d91bf7ff1f42112c541b11572 | function result=adjustedboxplot(x,varargin)
%
%ADJUSTEDBOXPLOT produces an adjusted box and whisker plot with one box for each column
% of X.
% Typical for this boxplot are its skewness-adjusted whiskers, which are based on
% the medcouple, a robust measure of skewness. At skewed data, the original boxplot
% typicall... |
github | samerlahoud/wireless-simulator-ua-pc-master | bagplot.m | .m | wireless-simulator-ua-pc-master/plot_library/bagplot.m | 58,009 | utf_8 | df2691a384be0586a6c2fe1ba845368d | function result=bagplot(x,varargin)
%BAGPLOT draws a bagplot, which is a generalisation of the univariate boxplot
% to bivariate data. The original bagplot is described in
%
% Rousseeuw, P.J., Ruts, I. and Tukey, J.W. (1999),
% "The bagplot: a bivariate boxplot", The American Statistician, 53, 382-387.
%
% The constru... |
github | samerlahoud/wireless-simulator-ua-pc-master | notBoxPlot.m | .m | wireless-simulator-ua-pc-master/plot_library/notBoxPlot.m | 6,631 | utf_8 | 5168ba3f770ec8ce0786ef91585613fb | function varargout=notBoxPlot(y,x,jitter,style)
% notBoxPlot - Doesn't plot box plots!
%
% function notBoxPlot(y,x,jitter,style)
%
%
% Purpose
% An alternative to a box plot, where the focus is on showing raw
% data. Plots columns of y as different groups located at points
% along the x axis defined by the optional vec... |
github | samerlahoud/wireless-simulator-ua-pc-master | hatchfill2.m | .m | wireless-simulator-ua-pc-master/plot_library/hatchfill2_r8/hatchfill2.m | 33,194 | utf_8 | 51bee2664013a1cf543ac2a97a7afb05 | function H = hatchfill2(A,varargin)
% HATCHFILL2 Hatching and speckling of patch objects
% HATCHFILL2(A) fills the patch(es) with handle(s) A. A can be a vector
% of handles or a single handle. If A is a vector, then all objects of A
% should be part of the same group for predictable results. The hatch
% consis... |
github | samerlahoud/wireless-simulator-ua-pc-master | legendflex.m | .m | wireless-simulator-ua-pc-master/plot_library/kakearney-legendflex-pkg-f29cb4e/legendflex/legendflex.m | 31,588 | UNKNOWN | 81c73e22c6df4cac5fee2c4c66067ca9 | function varargout = legendflex(varargin)
%LEGENDFLEX Creates a more flexible legend
%
% legendflex(M, param1, val1, ...)
% legendflex(h, M, param1, val1, ...)
% [legend_h,object_h,plot_h,text_str] = legendflex(...)
%
% This offers a more flexible version of the legend command. It offers a
% different method of posit... |
github | samerlahoud/wireless-simulator-ua-pc-master | generate_radio_conditions_v3.m | .m | wireless-simulator-ua-pc-master/network_generation/generate_radio_conditions_v3.m | 2,881 | utf_8 | 9a9d1a2b6be7e40337dfb66be30f0a5f | % Generate radio conditions based on output from Vienna LTE simulator
% Should integrate real fading law => Tried to use raylrnd
function [BS, user, pathloss_RB_matrix] = generate_radio_conditions_v3
rng('shuffle')
global netconfig;
nb_users_per_sector = netconfig.nb_users_per_sector;
nb_sectors ... |
github | samerlahoud/wireless-simulator-ua-pc-master | generate_radio_conditions.m | .m | wireless-simulator-ua-pc-master/network_generation/generate_radio_conditions.m | 1,561 | utf_8 | 0f2726174925ccb784fd54f74c2ddf22 | % Generate radio conditions based on output from Vienna LTE simulator
% Should integrate real fading law
function [BS, user, linear_pathloss_fading_matrix] = generate_radio_conditions
rng('shuffle')
load('network_1_rings_3_sectors_30_offset_10m_res_TS36942_urban_kathreinTSAntenna_antenna_8?-0?_2.14GHz_freq_claussen8dB_... |
github | samerlahoud/wireless-simulator-ua-pc-master | generate_radio_conditions_v2.m | .m | wireless-simulator-ua-pc-master/network_generation/generate_radio_conditions_v2.m | 2,790 | utf_8 | 9c5f0e178897e3a3c6d69bf4d99677d5 | % Generate radio conditions based on output from Vienna LTE simulator
% Should integrate real fading law
function [BS, user, pathloss_RB_matrix] = generate_radio_conditions_v2
rng('shuffle')
global netconfig;
nb_users_per_sector = netconfig.nb_users_per_sector;
nb_sectors = netconfig.nb_sector... |
github | samerlahoud/wireless-simulator-ua-pc-master | central_gee_noise_limited_power_allocation_rb.m | .m | wireless-simulator-ua-pc-master/power_allocation_algos/central_gee_noise_limited_power_allocation_rb.m | 3,795 | utf_8 | 6314f88b659d3d57d1845f75b6dee241 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Maximize GEE in a downlink multi-cell network in noise limited regime
% Centralized approach
% VENTURINO et al.: SCHEDULING AND POWER ALLOCATION IN OFDMA NETWORKS WITH BS COORDINATION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | samerlahoud/wireless-simulator-ua-pc-master | central_ee_maxlog_sinr_power_allocation_gradient.m | .m | wireless-simulator-ua-pc-master/power_allocation_algos/central_ee_maxlog_sinr_power_allocation_gradient.m | 6,604 | utf_8 | b51ccd3f2a66d19d5d4df92158c05983 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulation of Joint scheduling and power control for energy efficiency in
% multi-cell networks (2015)
% Samer Lahoud samer.lahoud@irisa.fr
% Kinda Khawam
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [... |
github | samerlahoud/wireless-simulator-ua-pc-master | central_ee_maxlog_sinr_power_allocation_rb_gp.m | .m | wireless-simulator-ua-pc-master/power_allocation_algos/central_ee_maxlog_sinr_power_allocation_rb_gp.m | 2,870 | utf_8 | bc7614488664815a0079ee28f96af50f | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulation of Joint scheduling and power control for energy efficiency in
% multi-cell networks (2015)
% Samer Lahoud samer.lahoud@irisa.fr
% Kinda Khawam
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fun... |
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