12期

最新文章

• Integration of Adaptive Control and Reinforcement Learning for Real-Time Control and Learning AI翻译
  作者：Annaswamy, Anuradha M.; Guha, Anubhav; Cui, Yingnan; Tang, Sunbochen; Fisher, Peter A.; Gaudio, Joseph E.
  作者单位：Massachusetts Institute of Technology (MIT); Boeing
  摘要：This article considers the problem of real-time control and learning in dynamic systems subjected to parameteric uncertainties. We propose a combination of a reinforcement learning (RL)-based policy in the outer loop suitably chosen to ensure stability and optimality for the nominal dynamics, together with adaptive control (AC) in the inner loop so that in real-time AC contracts the closed-loop dynamics toward a stable trajectory traced out by RL. In total, two classes of nonlinear dynamic sys...
• Scalable Robust Safety Filter With Unknown Disturbance Set AI翻译
  作者：Gruber, Felix; Althoff, Matthias
  作者单位：Technical University of Munich
  摘要：Equipping any controller with formal safety guarantees can be achieved by using safety filters. These filters modify the desired control input in the least restrictive way to guarantee safety. However, it is an unresolved issue to construct scalable safety filters without assuming the availability of the disturbance set. In this article, we address this issue by proposing an efficient approach to implementing safety filters. In particular, we perform offline set membership identification to ob...
• Secure Nonlinear Sampled-Data Control System Against Stealthy Attack: Multirate Approach AI翻译
  作者：Nazarzadeh, Amin; Marquez, Horacio J.
  作者单位：University of Alberta
  摘要：In this article, we provide a novel defence strategy for a nonlinear sampled-data control system under zero-dynamics attacks. In a sampled data structure, sampling zeros induced by discretization make a system vulnerable to deception attacks. we analyze the dissipativity in the zero-dynamics part of the system equipped with a multirate setup and find conditions on sampling rates to neutralize the attacker's target plan. We show that, under some mild conditions, using multirate sampling in the ...
• Probabilistic Safety Guarantees for Markov Decision Processes AI翻译
  作者：Wisniewski, Rafal; Bujorianu, Manuela L.
  作者单位：Aalborg University; University of London; University College London
  摘要：This article aims to incorporate safety specifications into Markov decision processes. Explicitly, we address the minimization problem up to a stopping time with safety constraints. We establish a formalism leaning upon the evolution equation to achieve our goal. We show how to compute the safety function with dynamic programming. In the last part of this article, we develop several algorithms for safe stochastic optimization using linear and dynamic programming.
• Probabilistic Event-Triggered Policy for Extended Dissipative Finite-Time Control of MJSs under Cyber-Attacks and Actuator Failures AI翻译
  作者：Chen, Haiyang; Zong, Guangdeng; Gao, Fangzheng; Shi, Yang
  作者单位：Tiangong University; Nanjing Institute of Technology; Nanjing Institute of Technology; University of Victoria
  摘要：This technical note investigates the problem of extended dissipative finite-time control for Markov jump systems (MJSs) with cyber-attacks and actuator failures. A probabilistic event-triggered mechanism (PETM) is proposed to relieve the communication burden by exploiting both the pattern variation of triggering thresholds and the time-varying characteristic of transmission delays. To characterize the actual control inputs, a stochastic actuator failure model (SAFM) is established using a rand...
• Robust Stability Analysis of Sampled-Data Systems With Uncertainties Characterized by the L∞ - Induced Norm: Gridding Treatment With Convergence Rate Analysis AI翻译
  作者：Kwak, Dohyeok; Kim, Jung Hoon; Hagiwara, Tomomichi
  作者单位：Pohang University of Science & Technology (POSTECH); Yonsei University; Kyoto University
  摘要：This article tackles the problem of stability analysis for uncertain sampled-data systems consisting of the feedback interconnection between a nominal linear time-invariant (LTI) sampled-data system and a structured linear time-varying (LTV) model uncertainty. When the L-infinity norm and its induced norm are taken into account to characterize such uncertain systems, it has been shown that the necessary and sufficient condition for robust stability of such uncertain sampled-data systems is des...
• Exponential Consensus of Multiple Agents Over Dynamic Network Topology: Controllability, Connectivity, and Compactness AI翻译
  作者：Ma, Qichao; Qin, Jiahu; Anderson, Brian D. O.; Wang, Long
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Australian National University; Peking University
  摘要：This paper investigates the problem of securing exponentially fast consensus (exponential consensus for short) for identical agents with finite dimensional linear system dynamics over dynamic network topology. Our aim is to find the weakest possible conditions that guarantee exponential consensus using a Lyapunov function consisting of a sum of terms of the same functional form. We first investigate necessary conditions, starting by examining the system parameters. It is found that controllabi...
• Certainty Equivalence Control of Discrete-Time Multiagent Systems: A Framework for Uniform Global Exponential Stability AI翻译
  作者：Su, Youfeng; Lee, Ti-Chung; Cai, He; Chen, Xiaofeng
  作者单位：Fuzhou University; National Sun Yat Sen University; South China University of Technology; Fuzhou University
  摘要：The solvability of certainty equivalence control problems for discrete-time multiagent systems over uniformly jointly connected switching networks relies on the stability/attractivity analysis for a class of perturbed switched systems with respect to a set of switching signals. To tackle this issue, in this article, a novel systematic and unified framework is established consisting of three key stability/attractivity results. First, the uniform global exponential stability for two dual cases o...
• Prescribed-Time Synchronization of Multiweighted and Directed Complex Networks AI翻译
  作者：Xu, Linlong; Liu, Xiwei
  作者单位：Tongji University
  摘要：In this note, we study the prescribed-time (PT) synchronization of the multiweighted and directed complex networks (MWDCNs). Unlike finite-time and fixed-time synchronization, the time for synchronization can be prescribed as needed, which is independent of initial values and parameters, such as coupling matrix. At first, we define a class of regulatory functions whose improper integrals diverge, and it is proved to play a key role in PT stability for dynamical systems. Many special functions ...
• Observability Robustness Under Sensor Failures: A Computational Perspective AI翻译
  作者：Zhang, Yuan; Xia, Yuanqing; Liu, Kun
  作者单位：Beijing Institute of Technology
  摘要：This article studies the robustness of observability of a linear time-invariant system under sensor failures from a computational perspective. Our aim is to determine the minimum number of sensors that, if removed, would render the system unobservable, and to determine the minimum number of state variables that need to be shielded from direct measurement by existing sensors to destroy system observability, both in numerical and structural (or structured) system models. The first problem is clo...