IEEE Transactions on Automatic Control

最新文章

• Comparative Analysis of Parameter Convergence for Several Least-Squares Estimation Schemes AI翻译
  作者：Pan, Yongping; Shi, Tian; Ortega, Romeo
  作者单位：Sun Yat Sen University; Sun Yat Sen University; Instituto Tecnologico Autonomo de Mexico
  摘要：Least-squares parameter estimation is important in system identification and adaptive control owing to its enhanced performance and robustness compared to gradient-descent parameter estimation. Based on a unified class of uncertain nonlinear systems, we introduce the standard least-squares estimator (LSE) and six variations from the old to the latest ones, namely a filterless LSE, a high-gain LSE, a filtered high-gain LSE, a finite-time LSE, a dynamic regressor extension and mixing (DREM)-base...
• Recursive Filtering for Discrete-Time Stochastic Complex Networks Under Bit-Rate Constraints: A Locally Minimum Variance Approach AI翻译
  作者：Wang, Licheng; Wang, Zidong; Zhao, Di; Liu, Yang; Wei, Guoliang
  作者单位：Shanghai University of Electric Power; Shandong University of Science & Technology; Brunel University; University of Shanghai for Science & Technology; University of Huddersfield
  摘要：In this article, the recursive filtering problem is investigated for a class of discrete-time stochastic dynamical networks where the data delivery from the sensors to the filter is implemented by a digital communication channel. With the help of the uniform quantization method, an improved encoding-decoding mechanism associated with measurement outputs is first put forward where the decoding error is guaranteed to be stochastically bounded under a certain bit-rate constraint condition. Based ...
• An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks AI翻译
  作者：D'Amico, William; La Bella, Alessio; Farina, Marcello
  作者单位：Polytechnic University of Milan
  摘要：This article proposes a novel sufficient condition for the incremental input-to-state stability of a class of recurrent neural networks (RNNs). The established condition is compared with others available in the literature, showing to be less conservative. Moreover, it can be applied for the design of incremental input-to-state stable RNN-based control systems, resulting in a linear matrix inequality constraint for some specific RNN architectures. The formulation of nonlinear observers for the ...
• Attack Detection and Secure State Estimation of Collectively Observable Cyber-Physical Systems Under False Data Injection Attacks AI翻译
  作者：Suo, Yuhan; Chai, Runqi; Chai, Senchun; Farhan, Ishrak M. D.; Xia, Yuanqing; Liu, Guo-Ping
  作者单位：Beijing Institute of Technology; Southern University of Science & Technology
  摘要：In this technical note, the problem of attack detection and secure state estimation in collectively observable cyber-physical systems is considered. First, an attack signal estimator is designed, which theoretically realizes the unbiased estimation of attack signals. Then, the alert, whether the sensor is attacked, is described as a hypothesis testing problem from the perspective of average malicious disturbance power, and a novel attack detection algorithm is designed on this basis. Based on ...
• Adaptive Angle-Constrained Enclosing Control for Multirobot Systems Using Bearing Measurements AI翻译
  作者：Lu, Ke; Dai, Shi-Lu; Jin, Xu
  作者单位：South China University of Technology; South China University of Technology; University of Kentucky
  摘要：This article proposes a constrained control framework to solve the moving-target enclosing problem for nonholonomic multirobot systems, where the safety and precision constraints are considered during the encircling motion. Based on bearing measurements, the target-robot and interrobot angles are constrained to satisfy the requirements of limited sensing range and collision avoidance. The precision constraint further guarantees all robots converging to a small neighborhood of the desired enclo...
• Supervisory Control Synthesis of Timed Automata Using Forcible Events AI翻译
  作者：Rashidinejad, Aida; Reniers, Michel; Fabian, Martin
  作者单位：Eindhoven University of Technology; Chalmers University of Technology
  摘要：This article presents an algorithm for synthesizing a supervisor for timed automata (TA) using the conventional supervisory control theory. The algorithm is directly applicable to TA without explicit transformation into finite automata, and iteratively strengthens the guards of edges labeled by controllable events and invariants of locations where the progression of time can be preempted by forcible events. The synthesized supervisor, also a TA, is controllable, maximally permissive, and guara...
• Convexified Open-Loop Stochastic Optimal Control for Linear Systems With Log-Concave Disturbances AI翻译
  作者：Sivaramakrishnan, Vignesh; Vinod, Abraham P.; Oishi, Meeko M. K.
  作者单位：University of New Mexico
  摘要：In this article, we consider open-loop solutions to the stochastic optimal control of a linear dynamical system with an additive non-Gaussian, log-concave disturbance. We propose a novel, sampling-free approach, based on characteristic functions and convex optimization, to cast the stochastic optimal control problem as a difference-of-convex program. Our method invokes higher moments, resulting in less conservatism compared to moment-based approaches. We employ piecewise affine approximations ...
• Risk-Averse Decision Making Under Uncertainty AI翻译
  作者：Ahmadi, Mohamadreza; Rosolia, Ugo; Ingham, Michel D.; Murray, Richard M.; Ames, Aaron D.
  作者单位：California Institute of Technology; National Aeronautics & Space Administration (NASA); NASA Jet Propulsion Laboratory (JPL)
  摘要：A large class of decision making under uncertainty problems can be described via Markov decision processes (MDPs) or partially observable MDPs (POMDPs), with application to artificial intelligence and operations research, among others. In this article, we consider the problem of designing policies for MDPs and POMDPs with objectives and constraints in terms of dynamic coherent risk measures rather than the traditional total expectation, which we refer to as the constrained risk-averse problem....
• Adaptive Regulation With Global KL Guarantees AI翻译
  作者：Karafyllis, Iasson; Aslanidis, Alexandros; Krstic, Miroslav
  作者单位：National Technical University of Athens; University of California System; University of California San Diego
  摘要：In the absence of persistency of excitation (PE), referring to adaptive control systems as uniformly asymptotically stable typically indicates insufficient understanding of stability concepts. While the state is indeed regulated to zero and the parameter estimate has some limit, namely, the overall state converges to some equilibrium, the equilibrium reached is not unique (and not even necessarily stable) but is dependent on the initial condition. The equilibrium set in the absence of PE is no...
• On the Structure of Feedback Potential Difference Games AI翻译
  作者：Prasad, Aathira; Mohapatra, Partha Sarathi; Reddy, Puduru Viswanadha
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Madras
  摘要：A static potential game is a noncooperative game for which there exists a fictitious function, also referred to as a potential function, whose optimizers provide a Nash equilibrium of the associated noncooperative game. In this article, we study nonzero-sum finite-horizon difference games with feedback information structure, which admit a potential game structure. We provide conditions for the existence of an optimal control problem such that the optimal solution of this problem provides a fee...