IEEE Transactions on Automatic Control

最新文章

• Concealability Analysis for Current-State Opacity Enforcement via Editing Functions AI翻译
  作者：Peng, Kun; Chen, Yufeng; Seatzu, Carla; Li, Zhiwu; Giua, Alessandro
  作者单位：Xidian University; University of Cagliari; Macau University of Science & Technology
  摘要：This article focuses on the problem of enforcing current-state opacity of a discrete event system via editing functions. In more detail, the observation exposed to an intruder is modified, either erasing or inserting some observations, so as to guarantee that the intruder is not able to discover the predefined secret. The notion of concealability, which formalizes the possibility of maintaining the secret hidden, is introduced starting from defining some illegal states on a particular structur...
• Intermittent Sampled-Data Stabilization of Highly Nonlinear Delayed Stochastic Networks via Periodic Self-Triggered Strategy AI翻译
  作者：Zhou, Hui; Li, Shufan; Park, Ju H.; Li, Wenxue
  作者单位：Harbin Institute of Technology; Yeungnam University
  摘要：This article considers the stabilization issue of highly nonlinear delayed stochastic networks (HNDSNs) based on periodic self-triggered intermittent control under sampled-data (PICS) for the first time. Therein, the linear growth condition is taken off, and some PICS-based stabilization conditions in previous works are weakened. It is worth pointing out that the existing results are suitable for highly nonlinear networks neither based on PICS nor considering the time-varying delay. Given this...
• Mean-Square Stability Radii for Stochastic Robustness Analysis: A Frequency-Domain Approach AI翻译
  作者：Chen, Jianqi; Qi, Tian; Ding, Yanling; Peng, Hui; Chen, Jie; Hara, Shinji
  作者单位：Nanjing University; South China University of Technology; City University of Hong Kong; Guangdong University of Technology; Institute of Science Tokyo; Tokyo Institute of Technology
  摘要：The purpose of this article is to develop a general framework of mean-square robust control in the presence of stochastic multiplicative uncertainties. We consider block diagonally structured stochastic uncertainties of a variety of structures including diagonal scalar, element-by-element, repeated scalar and full-block stochastic processes with prescribed variance bounds, which may arise from multiple sources and can be used to model various communication losses. In an important distinction f...
• On Equivalence of Lyapunov-Razumikhin Conditions and ISS for a Class of Time-Delay Systems AI翻译
  作者：Efimov, D.; Aleksandrov, A.
  作者单位：Inria; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Universite de Lille; Centrale Lille; ITMO University; Saint Petersburg State University; Russian Academy of Sciences
  摘要：For a retarded nonlinear system with a Lipschitz nonlinearity on bounded sets outside the origin, this article proposes necessary conditions for application of the Lyapunov-Razumikhin method. The presented conditions are illustrated on the classes of linear and nonlinear homogeneous systems.
• Mixed Populations of Coordinators, Anticoordinators, and Imitators: Stochastic Stability AI翻译
  作者：Rajaee, Mohaddeseh; Ramazi, Pouria
  作者单位：Isfahan University of Technology; Brock University
  摘要：Decision-making mechanisms are typically either of imitation, that is, to copy the action of successful fellows, coordination, that is, to take an action if enough fellows have done so, or anticoordination, that is to take an action if few fellows have done so. The resulting decision-making dynamics of a mixture of individuals following these three mechanisms may either eventually reach an equilibrium state where no one tends to switch strategies or enter a nonsingleton positively invariant se...
• Analysis of H∞ Performance for Multiagent Networks AI翻译
  作者：Wang, Jiamin; Liu, Jian; Zheng, Yuanshi; Xi, Jianxiang
  作者单位：Xidian University; Rocket Force University of Engineering
  摘要：In this article, we analyze the H(infinity )performance of the first-order continuous-time multiagent consensus network and that of the corresponding sampled-data network in the presence of external disturbances. First, we build the quantitative relation between the H-infinity performance and the eigenvalues of directed graph Laplacian for the continuous-time multiagent network. Second, we establish the analytic expression of H-infinity performance for the sampled-data multiagent network, whic...
• State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards AI翻译
  作者：Calvo-Fullana, Miguel; Paternain, Santiago; Chamon, Luiz F. O.; Ribeiro, Alejandro
  作者单位：Pompeu Fabra University; Rensselaer Polytechnic Institute; University of Stuttgart; University of Pennsylvania
  摘要：A common formulation of constrained reinforcement learning involves multiple rewards that must individually accumulate to given thresholds. In this class of problems, we show a simple example in which the desired optimal policy cannot be induced by any weighted linear combination of rewards. Hence, there exist constrained reinforcement learning problems for which neither regularized nor classical primal-dual methods yield optimal policies. This work addresses this shortcoming by augmenting the...
• Distributional Reachability for Markov Decision Processes: Theory and Applications AI翻译
  作者：Gao, Yulong; Abate, Alessandro; Xie, Lihua; Johansson, Karl Henrik
  作者单位：Imperial College London; University of Oxford; Nanyang Technological University
  摘要：We study distributional reachability for finite Markov decision processes (MDPs) from a control theoretical perspective. Unlike standard probabilistic reachability notions, which are defined over MDP states or trajectories, in this article reachability is formulated over the space of probability distributions. We propose two set-valued maps for the forward and backward distributional reachability problems: the forward map collects all state distributions that can be reached from a set of initi...
• Performance-Barrier-Based Event-Triggered Control With Applications to Network Systems AI翻译
  作者：Ong, Pio; Cortes, Jorge
  作者单位：California Institute of Technology; University of California System; University of California San Diego
  摘要：This article proposes a novel framework for resource-aware control design termed performance-barrier-based triggering. Given a feedback policy, along with a Lyapunov function certificate that guarantees its correctness, we examine the problem of designing its digital implementation through event-triggered control while ensuring a prescribed performance on the certificate's convergence rate is met and triggers occur as sparingly as possible. Our methodology takes into account the performance re...
• Supervisory Control of Networked Discrete Event Systems to Achieve a Required Language AI翻译
  作者：Wang, Xiaojun; Hu, Hesuan; Lin, Feng
  作者单位：University of Shanghai for Science & Technology; Xidian University; Nanyang Technological University; Xi'an Jiaotong University; Wayne State University
  摘要：Because of the wide use of networks, supervisory control of networked discrete event systems becomes more and more important. Since the languages generated by a networked supervisor is nondeterministic due to communication delays and losses, large and small languages are defined. While the large language has been investigated in the literature, the small language has not. In this article, we investigate the small language, which is needed for a supervised system to perform some required tasks....