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3,500 | Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics | eess.SY | This paper proposes a new approach to multi-sensor data fusion. It suggests
that aggregation of data from multiple sensors can be done more efficiently
when we consider information about sensors' different characteristics. Similar
to most research on effective sensors' characteristics, especially in control
systems, ou... | electrics |
3,501 | Cluster Synchronization of Coupled Systems with Nonidentical Linear Dynamics | eess.SY | This paper considers the cluster synchronization problem of generic linear
dynamical systems whose system models are distinct in different clusters. These
nonidentical linear models render control design and coupling conditions highly
correlated if static couplings are used for all individual systems. In this
paper, a ... | electrics |
3,502 | Global stabilization of multiple integrators by a bounded feedback with constraints on its successive derivatives | eess.SY | In this paper, we address the global stabilization of chains of integrators
by means of a bounded static feedback law whose p first time derivatives are
bounded. Our construction is based on the technique of nested saturations
introduced by Teel. We show that the control amplitude and the maximum value of
its p first d... | electrics |
3,503 | Stochastic Battery Model for Aggregation of Thermostatically Controlled Loads | cs.SY | The potential of demand side as a frequency reserve proposes interesting
opportunity in handling imbalances due to intermittent renewable energy
sources. This paper proposes a novel approach for computing the parameters of a
stochastic battery model representing the aggregation of Thermostatically
Controlled Loads (TCL... | electrics |
3,504 | PI(D) tuning for Flight Control Systems via Incremental Nonlinear Dynamic Inversion | cs.SY | Previous results reported in the robotics literature show the relationship
between time-delay control (TDC) and proportional-integral-derivative control
(PID). In this paper, we show that incremental nonlinear dynamic inversion
(INDI) - more familiar in the aerospace community - are in fact equivalent to
TDC. This lead... | electrics |
3,505 | Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II--Implementation and Results | cs.SY | This paper is the second of a two-part series that discusses the
implementation issues and test results of a robust Unscented Kalman Filter
(UKF) for power system dynamic state estimation with non-Gaussian synchrophasor
measurement noise. The tuning of the parameters of our Generalized
Maximum-Likelihood-type robust UK... | electrics |
3,506 | Online Simultaneous State and Parameter Estimation | eess.SY | In this paper, a concurrent learning based adaptive observer is developed for
a class of second-order nonlinear time-invariant systems with uncertain
dynamics. The developed technique results in uniformly ultimately bounded state
and parameter estimation errors. As opposed to persistent excitation which is
required for... | electrics |
3,507 | A Graphical Characterization of Structurally Controllable Linear Systems with Dependent Parameters | cs.SY | One version of the concept of structural controllability defined for
single-input systems by Lin and subsequently generalized to multi-input systems
by others, states that a parameterized matrix pair $(A, B)$ whose nonzero
entries are distinct parameters, is structurally controllable if values can be
assigned to the pa... | electrics |
3,508 | Variation Evolving for Optimal Control Computation, a Compact Way | eess.SY | A compact version of the variation evolving method (VEM) is developed in the
primal variable space for optimal control computation. Following the idea that
originates from the Lyapunov continuous-time dynamics stability theory in the
control field, the optimal solution is analogized to the stable equilibrium
point of a... | electrics |
3,509 | Small Satellite Constellation Separation using Linear Programming based Differential Drag Commands | cs.SY | We study the optimal control of an arbitrarily large constellation of small
satellites operating in low Earth orbit. Simulating the lack of on-board
propulsion, we limit our actuation to the use of differential drag maneuvers to
make in-plane changes to the satellite orbits. We propose an efficient method
to separate a... | electrics |
3,510 | An Elementary Introduction to Kalman Filtering | eess.SY | Kalman filtering is a classic state estimation technique used in application
areas such as signal processing and autonomous control of vehicles. It is now
being used to solve problems in computer systems such as controlling the
voltage and frequency of processors.
Although there are many presentations of Kalman filte... | electrics |
3,511 | A New Approach To Estimate The Collision Probability For Automotive Applications | eess.SY | We revisit the computation of a probability of collision in the context of
automotive collision avoidance (also referred to as conflict detection in other
contexts). After reviewing existing approaches to the definition and
computation of a collision probability we argue that the question "What is the
probability of co... | electrics |
3,512 | The Strategic LQG System: A Dynamic Stochastic VCG Framework for Optimal Coordination | eess.SY | The classic Vickrey-Clarke-Groves (VCG) mechanism ensures incentive
compatibility, i.e., that truth-telling of all agents is a dominant strategy,
for a static one-shot game. However, in a dynamic environment that unfolds over
time, the agents' intertemporal payoffs depend on the expected future controls
and payments, a... | electrics |
3,513 | Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition | cs.SY | This paper develops a novel data-driven technique to compute the
participation factors for nonlinear systems based on the Koopman mode
decomposition. Provided that certain conditions are satisfied, it is shown that
the proposed technique generalizes the original definition of the linear
mode-in-state participation fact... | electrics |
3,514 | Temporal Logic Verification of Stochastic Systems Using Barrier Certificates | cs.SY | This paper presents a methodology for temporal logic verification of
discrete-time stochastic systems. Our goal is to find a lower bound on the
probability that a complex temporal property is satisfied by finite traces of
the system. Desired temporal properties of the system are expressed using a
fragment of linear tem... | electrics |
3,515 | Robust path-following control for articulated heavy-duty vehicles | eess.SY | Path following and lateral stability are crucial issues for autonomous
vehicles. Moreover, these problems increase in complexity when handling
articulated heavy-duty vehicles due to their poor manoeuvrability, large sizes
and mass variation. In addition, uncertainties on mass may have the potential
to significantly dec... | electrics |
3,516 | Reachability Analysis Using Dissipation Inequalities For Uncertain Nonlinear Systems | eess.SY | We propose a method to outer bound forward reachable sets on finite horizons
for uncertain nonlinear systems with polynomial dynamics. This method makes use
of time-dependent polynomial storage functions that satisfy appropriate
dissipation inequalities that account for time-varying uncertain parameters, L2
disturbance... | electrics |
3,517 | On asymptotic characterization of destabilizing switching signals for switched linear systems | eess.SY | This paper deals with classes of (de)stabilizing switching signals for
switched systems. Most of the available conditions for stability of switched
systems are sufficient in nature, and consequently, their violation does not
conclude instability of a switched system. The study of instability is,
however, important for ... | electrics |
3,518 | MAP moving horizon estimation for threshold measurements with application to field monitoring | eess.SY | The paper deals with state estimation of a spatially distributed system given
noisy measurements from pointwise-in-time-and-space threshold sensors spread
over the spatial domain of interest. A Maximum A posteriori Probability (MAP)
approach is undertaken and a Moving Horizon (MH) approximation of the MAP
cost-function... | electrics |
3,519 | Model predictive control for transient frequency regulation of power networks | eess.SY | This paper introduces a control strategy to simultaneously achieve asymptotic
stabilization and transient frequency regulation of power networks. The control
command is generated by iteratively solving an open-loop control cost
minimization problem with stability and transient frequency constraints. To
deal with the no... | electrics |
3,520 | Descriptor system techniques and software tools | eess.SY | The role of the descriptor system representation as basis for reliable
numerical computations for system analysis and synthesis, and in particular,
for the manipulation of rational matrices, is discussed and available robust
numerical software tools are described. | electrics |
3,521 | Compositional Abstraction of Large-Scale Stochastic Systems: A Relaxed Dissipativity Approach | eess.SY | In this paper, we propose a compositional approach for the construction of
finite abstractions (a.k.a. finite Markov decision processes (MDPs)) for
networks of discrete-time stochastic control subsystems that are not
necessarily stabilizable. The proposed approach leverages the interconnection
topology and a notion of ... | electrics |
3,522 | Solving Power System Differential Algebraic Equations Using Differential Transformation | eess.SY | This paper proposes a novel non-iterative method to solve power system
differential algebraic equations (DAEs) using the differential transformation,
a mathematical tool that can obtain power series coefficients by transformation
rules instead of calculating high order derivatives and has proved to be
effective in solv... | electrics |
3,523 | Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks | eess.SY | This paper studies the vulnerability of large-scale power systems to false
data injection (FDI) attacks through their physical consequences. Prior work
has shown that an attacker-defender bi-level linear program (ADBLP) can be used
to determine the worst-case consequences of FDI attacks aiming to maximize the
physical ... | electrics |
3,524 | Verification of C-detectability Using Petri Nets | eess.SY | Detectability describes the property of an system whose current and the
subsequent states can be uniquely determined after a finite number of
observations. In this paper, we relax detectability to C-detectability that
only requires a given set of crucial states can be distinguished from other
states. Four types of C-de... | electrics |
3,525 | Multi-agent estimation and filtering for minimizing team mean-squared error | eess.SY | Motivated by estimation problems arising in autonomous vehicles and
decentralized control of unmanned aerial vehicles, we consider multi-agent
estimation and filtering problems in which multiple agents generate state
estimates based on decentralized information and the objective is to minimize a
coupled mean-squared er... | electrics |
3,526 | On the Existence of a Fixed Spectrum for a Multi-channel Linear System: A Matroid Theory Approach | cs.SY | Conditions for the existence of a fixed spectrum \{i.e., the set of fixed
modes\} for a multi-channel linear system have been known for a long time. The
aim of this paper is to reestablish one of these conditions using a new and
transparent approach based on matroid theory. | electrics |
3,527 | A Negotiation-based Right-of-way Assignment Strategy to Ensure Traffic Safety and Efficiency in Lane Change | eess.SY | It is widely acknowledged that verifying the safety of autonomous driving
strategies requires a substantial body of simulation testing and road testing.
In recent years, the formal safety methods represented by
Responsibility-Sensitive Safety (RSS) have encouraged low-cost autonomous
driving safety research, benefittin... | electrics |
3,528 | Robust simultaneous stabilization and decoupling of unstable adversely coupled uncertain resource constraints plants of a nano air vehicle | eess.SY | The plants of nano air vehicles (NAVs) are generally unstable, adversely
coupled, and uncertain. Besides, the autopilot hardware of a NAV has limited
sensing and computational capabilities. Hence, these vehicles need a single
controller referred to as Robust Simultaneously Stabilizing Decoupling (RSSD)
output feedback ... | electrics |
3,529 | Optimal Storage Arbitrage under Net Metering using Linear Programming | eess.SY | We formulate the optimal energy arbitrage problem for a piecewise linear cost
function for energy storage devices using linear programming (LP). The LP
formulation is based on the equivalent minimization of the epigraph. This
formulation considers ramping and capacity constraints, charging and
discharging efficiency lo... | electrics |
3,530 | Decentralized Multi-target Tracking in Urban Environments: Overview and Challenges | eess.SY | In multi-target tracking, sensor control involves dynamically configuring
sensors to achieve improved tracking performance. Many of these techniques
focus on sensors with memoryless states (e.g., waveform adaptation, beam
scheduling, and sensor selection), lending themselves to computationally
efficient control strateg... | electrics |
3,531 | Passive Multi-Target Tracking Using the Adaptive Birth Intensity PHD Filter | eess.SY | Passive multi-target tracking applications require the integration of
multiple spatially distributed sensor measurements to distinguish true tracks
from ghost tracks. A popular multi-target tracking approach for these
applications is the particle filter implementation of Mahler's probability
hypothesis density (PHD) fi... | electrics |
3,532 | Obstructed Target Tracking in Urban Environments | eess.SY | Accurate tracking in urban environments necessitates target birth, survival,
and detection models that quantify the impact of terrain and building geometry
on the sequential estimation procedure. Current efforts assume that target
trajectories are limited to fixed paths, such as road networks. In these
settings a singl... | electrics |
3,533 | Learning Pugachev's Cobra Maneuver for Tail-sitter UAVs Using Acceleration Model | eess.SY | The Pugachev's cobra maneuver is a dramatic and demanding maneuver requiring
the aircraft to fly at extremely high Angle of Attacks (AOA) where stalling
occurs. This paper considers this maneuver on tail-sitter UAVs. We present a
simple yet very effective feedback-iterative learning position control
structure to regula... | electrics |
3,534 | Compositional Abstraction-based Synthesis of General MDPs via Approximate Probabilistic Relations | eess.SY | We propose a compositional approach for constructing abstractions of general
Markov decision processes using approximate probabilistic relations. The
abstraction framework is based on the notion of $\delta$-lifted relations,
using which one can quantify the distance in probability between the
interconnected gMDPs and t... | electrics |
3,535 | Feedback Linearization for Quadrotors UAV | eess.SY | In the paper "Control Design for UAV Quadrotors via Embedded Model Control"
[1], the authors designed a complete control unit for a UAV Quadrotor, based on
the Embedded Model Control (EMC) methodology, in combination with the Feedback
Linearization (FL); when applied to non-linear systems. Specifically, [1]
proposes to... | electrics |
3,536 | Optimal In-field Routing for Full and Partial Field Coverage with Arbitrary Non-Convex Fields and Multiple Obstacle Areas | eess.SY | Within the context of optimising the logistics in agriculture this paper
relates to optimal in-field routing for full and partial field coverage with
arbitrary non-convex fields and multiple obstacle areas. It is distinguished
between nine different in-field routing tasks: two for full-field coverage,
seven for partial... | electrics |
3,537 | Data-Driven Model Predictive Control with Stability and Robustness Guarantees | eess.SY | We propose a robust data-driven model predictive control (MPC) scheme to
control linear time-invariant (LTI) systems. The scheme uses an implicit model
description based on behavioral systems theory and past measured trajectories.
In particular, it does not require any prior identification step, but only an
initially m... | electrics |
3,538 | Lyapunov Differential Equation Hierarchy and Polynomial Lyapunov Functions for Switched Linear Systems | eess.SY | This work studies the problem of searching for homogeneous polynomial
Lyapunov functions for stable switched linear systems. Specifically, we show an
equivalence between polynomial Lyapunov functions for systems of this class and
quadratic Lyapunov functions for a related hierarchy of Lyapunov differential
equations. T... | electrics |
3,539 | A hierarchical Lyapunov-based cascade adaptive control scheme for lower-limb exoskeleton | eess.SY | This paper proposes a hierarchical Lyapunov-based adaptive cascade control
scheme for a lower-limb exoskeleton with control saturation. The proposed
approach is composed by two control levels with cascade structure. At the
higher layer of the structure, a Lyapunov-based back-stepping regulator
including adaptive estima... | electrics |
3,540 | Adaptive Resource Management for a Virtualized Computing Platform within Edge Computing | eess.SY | In virtualized computing platforms, energy consumption is related to the
computing-plus-communication processes. However, most of the proposed energy
consumption models and energy saving solutions found in literature consider
only the active Virtual Machines (VMs), thus the overall operational energy
expenditure is usu... | electrics |
3,541 | A Passivity Interpretation of Energy-Based Forced Oscillation Source Location Methods | eess.SY | This paper develops a systematic framework for analyzing how low frequency
forced oscillations propagate in electric power systems. Using this framework,
the paper shows how to mathematically justify the so-called Dissipating Energy
Flow (DEF) forced oscillation source location technique. The DEF's specific
deficiencie... | electrics |
3,542 | A steady-state stability analysis of uniform synchronous power grid topologies | eess.SY | Motter et al. derived a real-valued master stability function which
determines whether and to what degree a given power grid is asymptotically
stable. Stright and Edrington adopted certain uniformity assumptions on a
grid's components and demonstrated how differences in topologies obtained using
these components can af... | electrics |
3,543 | Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems | eess.SY | In this work, we consider the adaptive nonlinear control problem for strict
feedback nonlinear systems, where the functions that determine the dynamics of
the system are completely unknown. We assume that certain upper bounds for the
functions $g_i$s of the system are known. The objective of the control design
is to de... | electrics |
3,544 | Game-Theoretic Mixed $H_2/H_{\infty}$ Control with Sparsity Constraint for Multi-agent Networked Control Systems | eess.SY | Multi-agent networked control systems (NCSs) are often subject to model
uncertainty and are limited by large communication cost, associated with
feedback of data between the system nodes. To provide robustness against model
uncertainty and to reduce the communication cost, this paper investigates the
mixed $H_2/H_{\inf... | electrics |
3,545 | Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach | eess.SY | In this paper, we propose a network scenario where the baseband processes of
the virtual small cells powered solely by energy harvesters and batteries can
be opportunistically executed in a grid-connected edge computing server,
co-located at the macro base station site. We state the corresponding energy
minimization pr... | electrics |
3,546 | Ensemble Consider Kalman Filtering | eess.SY | In this paper, the ensemble consider Kalman filter is proposed to mitigate
the negative effects of uncertain parameters in nonlinear dynamic and
measurement models. The ensemble Kalman filter can avoid using the Jacobian
matrices and reduce the computational complexity, the unknown parameters of the
models still are no... | electrics |
3,547 | A Chance-Constrained Stochastic Electricity Market | eess.SY | Efficiently accommodating uncertain renewable resources in wholesale
electricity markets is among the foremost priorities of market regulators in
the US, UK and EU nations. However, existing deterministic market designs fail
to internalize the uncertainty and their scenario-based stochastic extensions
are limited in th... | electrics |
3,548 | Flight Control for UAV Loitering Over a Ground Target with Unknown Maneuver | eess.SY | This paper proposes a flight controller for an unmanned aerial vehicle (UAV)
to loiter over a ground moving target (GMT). We are concerned with the scenario
that the stochastically time-varying maneuver of the GMT is unknown to the UAV,
which renders it challenging to estimate the GMT's motion state. Assuming that
the ... | electrics |
3,549 | Distributed $H_\infty$ Estimation Resilient to Biasing Attacks | eess.SY | We consider the distributed $H_\infty$ estimation problem with an additional
requirement of resilience to biasing attacks. An attack scenario is considered
where an adversary misappropriates some of the observer nodes and injects
biasing signals into observer dynamics. The paper proposes a procedure for the
derivation ... | electrics |
3,550 | A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value Functions | eess.SY | To address the issue that Lagrangian dual function based algorithms cannot
guarantee convergence and global optimality for decentralized multi-area
security constrained unit commitment (M-SCUC) problems, a novel decomposition
and coordination method using MILP (mixed integer linear programming) value
functions is propo... | electrics |
3,551 | A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems--Extended Version | eess.SY | So far, many control algorithms have been developed for singularly perturbed
systems. However, in many industrial processes, enforcing closed-loop fast-slow
dynamics for peculiarly non-separable ones is a prior request and a crucial
issue to be resolved. Aiming at the above problem, this paper presents two
dual-level m... | electrics |
3,552 | Target Encirclement with any Smooth Pattern Using Range-only Measurements | eess.SY | This paper proposes a coordinate-free controller to drive a mobile robot to
encircle a target at unknown position by only using range measurements.
Different from the existing works, a backstepping based controller is proposed
to encircle the target with zero steady-state error for any desired smooth
pattern. Moreover,... | electrics |
3,553 | LIDAR-Assisted Exact Output Regulation for Load Mitigation in Wind Turbines | eess.SY | Optimising wind turbine performance involves maximising energy harvesting
while seeking to minimise load fatigues on the tower structure, blades and
rotor. To improve turbine control performance, wind preview measurement
technologies such as Light Detection And Ranging (LIDAR) have been a point of
interest for research... | electrics |
3,554 | An Integral Formulation and Convex Hull Pricing for Unit Commitment | eess.SY | Reducing uplift payments has been a challenging problem for most wholesale
markets in US. The main difficulty comes from the unit commitment discrete
decision makings. Recently convex hull pricing has shown promises to reduce the
uplift payments. However, it has been intractable to obtain the optimal convex
hull price.... | electrics |
3,555 | Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter | eess.SY | This paper proposes a computationally efficient algorithm for distributed
fusion in a sensor network in which multi-Bernoulli (MB) filters are locally
running in every sensor node for multi-target tracking. The generalized
Covariance Intersection (GCI) fusion rule is employed to fuse multiple MB
random finite set densi... | electrics |
3,556 | Resilient Leader-Follower Consensus with Time-Varying Leaders in Discrete-Time Systems | eess.SY | The problem of consensus in the presence of adversarially behaving agents has
been studied extensively in the literature. The proposed algorithms typically
guarantee that the consensus value lies within the convex hull of initial
normal agents' states. In leader-follower consensus problems however, the
objective for no... | electrics |
3,557 | Herding an Adversarial Swarm in an Obstacle Environment | eess.SY | This paper studies a defense approach against a swarm of adversarial agents.
We employ a closed formation (`StringNet') of defending agents around the
adversarial agents to restrict their motion and guide them to a safe area while
navigating in an obstacle-populated environment. Control laws for forming the
StringNet a... | electrics |
3,558 | Resilient Leader-Follower Consensus to Arbitrary Reference Values in Time-Varying Graphs | eess.SY | Several algorithms in prior literature have been proposed which guarantee
consensus of normally behaving agents in a network that may contain
adversarially behaving agents. These algorithms guarantee that the consensus
value lies within the convex hull of initial normal agents' states, with the
exact consensus value po... | electrics |
3,559 | Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games | eess.SY | Dynamic games arise when multiple agents with differing objectives control a
dynamic system. They model a wide variety of applications in economics,
defense, energy systems and etc. However, compared to single-agent control
problems, the computational methods for dynamic games are relatively limited.
As in the single-a... | electrics |
3,560 | On the Local Input-Output Stability of Event-Triggered Control Systems | cs.SY | This paper studies performance preserving event design in nonlinear
event-based control systems based on a local L2-type performance criterion.
Considering a finite gain local L2-stable disturbance driven continuous-time
system, we propose a triggering mechanism so that the resulting sampled-data
system preserves simil... | electrics |
3,561 | Adaptive polytopic estimation for nonlinear systems under bounded disturbances using moving horizon | eess.SY | This paper introduces an adaptive polytopic estimator design for nonlinear
systems under bounded disturbances combining moving horizon and dual estimation
techniques. It extends the moving horizon estimation results for LTI systems to
polytopic LPV systems. The design and necessary conditions to guarantee the
robust st... | electrics |
3,562 | Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances | cs.SY | In this work, we address the output--feedback control problem for nonlinear
systems under bounded disturbances using a moving horizon approach. The
controller is posed as an optimization-based problem that simultaneously
estimates the state trajectory and computes future control inputs. It minimizes
a criterion that in... | electrics |
3,563 | Probabilistic model predictive safety certification for learning-based control | eess.SY | Reinforcement learning (RL) methods have demonstrated their efficiency in
simulation environments. However, many applications for which RL offers great
potential, such as autonomous driving, are also safety critical and require a
certified closed-loop behavior in order to meet safety specifications in the
presence of p... | electrics |
3,564 | Validating Coordination Schemes between Transmission and Distribution System Operators using a Laboratory-Based Approach | eess.SY | The secure operation of future power systems will rely on better coordination
between transmission system and distribution system operators. Increasing
integration of renewables throughout the whole system is challenging the
traditional operation. To tackle this problem, the SmartNet project proposes
and evaluates five... | electrics |
3,565 | A Receding Horizon Framework for Autonomy in Unmanned Vehicles | eess.SY | In this article we present a unified framework based on receding horizon
techniques that can be used to design the three tasks (guidance, navigation and
path-planning) which are involved in the autonomy of unmanned vehicles. This
tasks are solved using model predictive control and moving horizon estimation
techniques, ... | electrics |
3,566 | Design of distributed guidance laws for multi-UAV cooperative attacking a moving target based on reducing surrounding area | eess.SY | In this paper, two cooperative guidance laws based on the area around the
target of multiattackers are designed to deal with the problem of cooperative
encirclement or simultaneous attack in the case of known target acceleration
and unknown target acceleration. Multi-attacker communication network only
needs to contain... | electrics |
3,567 | Computer-aided modelling of complex physical systems with BondGraphTools | eess.SY | BondGraphTools is a Python library for scripted modelling of complex
multi-physics systems. In contrast to existing modelling solutions,
BondGraphTools is based upon the well established bond graph methodology,
provides a programming interface for symbolic model composition, and is
intended to be used in conjunction wi... | electrics |
3,568 | Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems | eess.SY | This paper envisions a new control architecture for the protective relay
setting in future power distribution systems. With deepening penetration of
distributed energy resources at the end users level, it has been recognized as
a key engineering challenge to redesign the protective relays in the future
distribution sys... | electrics |
3,569 | Sliding Mode Control Techniques and Artificial Potential Field for Dynamic Collision Avoidance in Rendezvous Maneuvers | eess.SY | The paper considers autonomous rendezvous maneuver and proximity operations
of two spacecraft in presence of obstacles. A strategy that combines guidance
and control algorithms is analyzed. The proposed closed-loop system is able to
guarantee a safe path in a real environment, as well as robustness with respect
to exte... | electrics |
3,570 | Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics | eess.SY | Iterative trajectory optimization techniques for non-linear dynamical systems
are among the most powerful and sample-efficient methods of model-based
reinforcement learning and approximate optimal control. By leveraging
time-variant local linear-quadratic approximations of system dynamics and
reward, such methods can f... | electrics |
3,571 | Preference-based Energy Exchange in a Network of Microgrids | eess.SY | Peer-to-peer energy trading is emerging as a new paradigm that in the near
future may disrupt conventional electricity markets and heavily affect energy
exchanges in networks of microgrids. In this paper, a preference mechanism is
considered to compute optimal energy exchanges in a network of microgrids with
or without... | electrics |
3,572 | Combining Learning and Model Based Control via Discrete-Time Chen-Fliess Series | eess.SY | A learning control system is presented suitable for control affine nonlinear
plants based on discrete-time Chen-Fliess series and capable of incorporating
knowledge of a given physical model. The underlying noncommutative algebraic
and combinatorial structures needed to realize the multivariable case are also
described... | electrics |
3,573 | Distributed Optimal Guidance Laws for Multiple Unmanned Aerial Vehicles Attacking A Moving Target | eess.SY | In this paper, two cooperative guidance laws based on two-point boundary
value are designed to deal with the problem of cooperative encirclement and
simultaneous attack under condition of both known target acceleration and
unknown target acceleration. The only requirement for the multi-attacker
communication network is... | electrics |
3,574 | Beyond Phasors: Continuous-Spectrum Modeling of Power Systems using the Hilbert Transform | eess.SY | Modern power systems are at risk of largely reducing the inertia of
generation assets and prone to experience extreme dynamics. The consequence is
that, during electromechanical transients triggered by large contingencies,
transmission of electrical power may take place in a broad spectrum well beyond
the single fundam... | electrics |
3,575 | $H_{\infty}$-Control of Grid-Connected Converters: Design, Objectives and Decentralized Stability Certificates | eess.SY | The modern power system features high penetration of power converters due to
the development of renewables, HVDC, etc. Currently, the controller design and
parameter tuning of power converters heavily rely on rich engineering
experience and extrapolation from a single converter system, which may lead to
inferior perfor... | electrics |
3,576 | The Branching-Course MPC Algorithm for Maritime Collision Avoidance | eess.SY | This article presents a new algorithm for short-term maritime collision
avoidance (COLAV) named the branching-course MPC (BC-MPC) algorithm. The
algorithm is designed to be robust with respect to noise on obstacle estimates,
which is a significant source of disturbance when using exteroceptive sensors
such as e.g. rada... | electrics |
3,577 | Smart Charging Benefits in Autonomous Mobility on Demand Systems | eess.SY | In this paper, we study the potential benefits from smart charging for a
fleet of electric vehicles (EVs) providing autonomous mobility-on-demand (AMoD)
services. We first consider a profit-maximizing platform operator who makes
decisions for routing, charging, rebalancing, and pricing for rides based on a
network flow... | electrics |
3,578 | Distributed Design of Robust Kalman Filters over Corrupted Channels | eess.SY | We study distributed filtering for a class of uncertain systems over
corrupted communication channels. We propose a distributed robust Kalman filter
with stochastic gains, through which upper bounds of the conditional mean
square estimation errors are calculated online. We present a robust collective
observability cond... | electrics |
3,579 | Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17 | eess.SY | This paper presents a three-layered hybrid collision avoidance (COLAV) system
for autonomous surface vehicles, compliant with rules 8 and 13-17 of the
International Regulations for Preventing Collisions at Sea (COLREGs). The COLAV
system consists of a high-level planner producing an energy-optimized
trajectory, a model... | electrics |
3,580 | Development of a novel matrix-based methodology for system engineering: A case study | eess.SY | Developing a structured method for analyzing various aspects of a system
requires a novel methodology. This study is aimed at developing such as
methodology through combining two major matrix methods, namely, Design
Structure Matrix (DSM) and Interface Structure Matrix (ISM). Through this
paper, a business process mode... | electrics |
3,581 | Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicle in Mixed Traffic Conditions | eess.SY | Managed lanes, such as a dedicated lane for connected and automated vehicles
(CAVs), can provide not only technological accommodation but also desired
market incentives for road users to adopt CAVs in the near future. In this
paper, we investigate traffic flow characteristics with two configurations of
the managed lane... | electrics |
3,582 | Discrete Event Simulation of Driver's Routing Behavior Rule at a Road Intersection | eess.SY | Several factors influence traffic congestion and overall traffic dynamics.
Simulation modeling has been utilized to understand the traffic performance
parameters during traffic congestions. This paper focuses on driver behavior of
route selection by differentiating three distinguishable decisions, which are
shortest di... | electrics |
3,583 | Multi-object Tracking in Unknown Detection Probability with the PMBM Filter | eess.SY | This paper focuses on the joint multi-object tracking (MOT) and the estimate
of detection probability with the \emph{Poisson multi-Bernoulli mixture} (PMBM)
filter. In a majority of multi-object scenarios, the knowledge of detection
probability is usually uncertain, which is often estimated offline from the
training da... | electrics |
3,584 | Self-triggered stabilizing controllers for linear continuous-time systems | eess.SY | Self-triggered control is an improvement on event-triggered control methods.
Unlike the latter, self-triggered control does not require monitoring the
behavior of the system constantly. Instead, self-triggered algorithms predict
the events at which the control law has to be updated before they happen,
relying on system... | electrics |
3,585 | Generalized Proportional Allocation Policies for Robust Control of Dynamical Flow Networks | eess.SY | We study a robust control problem for dynamical flow networks. In the
considered dynamical models, traffic flows along the links of a transportation
network --modeled as a capacited multigraph-- and queues up at the nodes,
whereby control policies determine which incoming queues at a node are to be
allocated service si... | electrics |
3,586 | Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids | eess.SY | This paper presents a supervised multi-agent safe policy learning (SMAS-PL)
method for optimal power management of networked microgrids (MGs) in
distribution systems. While conventional reinforcement learning (RL) algorithms
are black-box decision models that could fail to satisfy grid operational
constraints, our prop... | electrics |
3,587 | Small-Signal Stability Analysis for Droop-Controlled Inverter-based Microgrids with Losses and Filtering | eess.SY | An islanded microgrid supplied by multiple distributed energy resources
(DERs) often employs droop-control mechanisms for power sharing. Because
microgrids do not include inertial elements, and low pass filtering of noisy
measurements introduces lags in control, droop-like controllers may pose
significant stability con... | electrics |
3,588 | Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type | eess.SY | Parametric studies for dynamic systems are of high interest to detect
instability domains. This prediction can be demanding as it requires a refined
exploration of the parametric space due to the disrupted mechanical behavior.
In this paper, an efficient surrogate strategy is proposed to investigate the
behavior of an ... | electrics |
3,589 | A novel passivity based controller for a piezoelectric beam | eess.SY | This paper presents a new passivity property for distributed piezoelectric
devices with integrable port-variables. We present two new control
methodologies by exploiting the integrability property of the port-variables.
The derived controllers have a Proportional-Integral (PI) like structure.
Finally, we present the si... | electrics |
3,590 | A Soft-switched Fast Cell-to-Cell Voltage Equalizer for Electrochemical Energy Storage | eess.SY | Batteries are connected in series to meet the voltage requirement in many
applications. A voltage equalizer circuit is necessary to ensure that none of
the batteries is over-charged or over-discharged.
A novel fast soft-switched cell-to-cell voltage equalizer topology is
proposed in this work. This topology can trans... | electrics |
3,591 | A Reconfigurable Solar Photovoltaic Grid-Tied Inverter Architecture for Enhanced Energy Access in Backup Power Applications | eess.SY | In this paper, a photovoltaic (PV) reconfigurable grid-tied inverter (RGTI)
scheme is proposed. Unlike a conventional GTI that ceases operation during a
power outage, the RGTI is designed to act as a regular GTI in the on-grid mode
but it is reconfigured to function as a DC-DC charge-controller that continues
operation... | electrics |
3,592 | Decentralized Dynamic State Estimation in Microgrids | eess.SY | This paper proposes a decentralized dynamic state estimation scheme for
microgrids. The approach employs the voltage and current measurements in the
dq0 reference frame through phasor synchronization to be able to exclude
orthogonal functions from their relationship formulas. Based on that premise,
we utilize a Kalman ... | electrics |
3,593 | Backward Reachability for Polynomial Systems on A Finite Horizon | eess.SY | A method is presented to obtain an inner-approximation of the backward
reachable set (BRS) of a given target tube, along with an admissible controller
that maintains trajectories inside this tube. The proposed optimization
algorithms are formulated as nonlinear optimization problems, which are
decoupled into tractable ... | electrics |
3,594 | Simulation Credibility Assessment Methodology with FPGA-based Hardware-in-the-loop Platform | eess.SY | Electronic control systems are becoming more and more complicated, which
makes it difficult to test them sufficiently only through experiments.
Simulation is an efficient way in the development and testing of complex
electronic systems, but the simulation results are always doubtful by people
due to the lack of credibl... | electrics |
3,595 | Distributed Integer Balancing under Weight Constraints in the Presence of Transmission Delays and Packet Drops | eess.SY | We consider the distributed weight balancing problem in networks of nodes
that are interconnected via directed edges, each of which is able to admit a
positive integer weight within a certain interval, captured by individual lower
and upper limits. A digraph with positive integer weights on its (directed)
edges is weig... | electrics |
3,596 | Controlling Power and Virtual Inertia from Storage for Frequency Response | eess.SY | Nowadays, power imbalance happens more frequently due to the more integration
of renewable energy sources. Energy storage is a kind of devices that can
charge energy at one time and discharge energy at another time. This function
makes that storage is widely envolved into promoting power balance of power
system. Beside... | electrics |
3,597 | Short-term ASV Collision Avoidance with Static and Moving Obstacles | eess.SY | This article considers collision avoidance (COLAV) for both static and moving
obstacles using the branching-course model predictive control (BC-MPC)
algorithm, which is designed for use by autonomous surface vehicles (ASVs). The
BC-MPC algorithm originally only considered COLAV of moving obstacles, so in
order to make ... | electrics |
3,598 | Safety Control with Preview Automaton | eess.SY | This paper considers the problem of safety controller synthesis for systems
equipped with sensor modalities that can provide preview information. We
consider switched systems where switching mode is an external signal for which
preview information is available. In particular, it is assumed that the sensors
can notify t... | electrics |
3,599 | Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models | eess.SY | This paper concerns the problem of adaptive output regulation for
multivariable nonlinear systems in normal form. We present a regulator
employing an adaptive internal model of the exogenous signals based on the
theory of nonlinear Luenberger observers. Adaptation is performed by means of
discrete-time system identific... | electrics |
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