2023

最新文章

• Distributed Channel Access for Control Over Known and Unknown Gilbert-Elliott Channels AI翻译
  作者：Farjam, Tahmoores; Wymeersch, Henk; Charalambous, Themistoklis
  作者单位：Aalto University; Chalmers University of Technology; University of Cyprus
  摘要：In this article, we consider the distributed channel access problem for a system consisting of multiple control subsystems that close their loop over a shared wireless network with multiple channels subject to Markovian packet dropouts. Provided that an acknowledgement/ negative-acknowledgement feedback mechanism is in place, we show that this problem can be formulated as a Markov decision process. We then transform this problem to a form that enables distributed control-aware channel access. ...
• Event-Based Model Reference Adaptive Tracking AI翻译
  作者：Wang, Yuzhong; Wen, Changyun; Li, Xiaolei
  作者单位：Southern University of Science & Technology; Nanyang Technological University; Yanshan University
  摘要：In this article, the event-triggered asymptotic tracking problem is considered for an uncertain linear system by using the model reference adaptive control approach. Different from the existing results, the control signal and the parameter estimator are event-triggered simultaneously for transmission, which brings difficulties in achieving the objective of both asymptotic stability and Zeno-free behavior. To overcome the difficulties, a novel dynamic event-triggered scheme is proposed, where t...
• Robust UFIR Observer for WSNs With Multistep Random Delays and Multiple Packet Dropouts AI翻译
  作者：Uribe-Murcia, Karen J.; Shmaliy, Yuriy S.
  作者单位：Universidad de Guanajuato
  摘要：The robust unbiased finite impulse response (UFIR) filter is developed for wireless sensor networks with multistep random delays and multiple dropouts. The problem is solved by converting a model with delays to another without delays. Experimental testing is provided by Global Positioning System-based vehicle tracking with randomly delayed data, using the standard Kalman filter (KF) and game theory H-infinity filter as benchmarks. It is shown that the UFIR filter is the most robust to uncertai...
• Data-Driven Attack Detection and Identification for Cyber-Physical Systems Under Sparse Sensor Attacks AI翻译
  作者：Zhao, Zhengen; Xu, Yunsong; Li, Yuzhe; Zhen, Ziyang; Yang, Ying; Shi, Yang
  作者单位：Nanjing University of Aeronautics & Astronautics; National University of Defense Technology - China; Northeastern University - China; Peking University; University of Victoria
  摘要：This article studies the issues of data-driven attack detection and identification for cyber-physical systems under sparse sensor attacks. First, based on the available input and output datasets, a data-driven monitor is formulated with the following two objectives: attack detection and attack identification. Then, with the subspace approach, a data-driven attack detection policy is presented, wherein the attack detector is designed directly by the process data. A subspace projection-based att...
• Nash Equilibrium in Iterated Multiplayer Games Under Asynchronous Best-Response Dynamics AI翻译
  作者：Zhu, Yuying; Xia, Chengyi; Chen, Zengqiang
  作者单位：Tiangong University; Nankai University
  摘要：As an important branch of evolutionary game theory, iterated games describe the situations that interacting agents play repeatedly based on previous outcomes by using the conditional strategies. A new class of zero-determinant (ZD) strategies, which can control a linear relation between the expected payoffs of a single agent and the coplayers, has dramatically changed the viewpoint on iterated games. Here, in this article, we focus on the decision-making behaviors in iterated multiplayer gamin...
• Regression Filtration With Resetting to Provide Exponential Convergence of MRAC for Plants With Jump Change of Unknown Parameters AI翻译
  作者：Glushchenko, Anton; Petrov, Vladislav; Lastochkin, Konstantin
  作者单位：Russian Academy of Sciences
  摘要：This article proposes a new method to provide the exponential convergence of both the parameter and tracking errors of the composite adaptive control system without the persistent excitation (PE) requirement. Instead, the derived composite adaptive law ensures the abovementioned properties under the strictly weaker finite excitation (FE) condition. Unlike known solutions, in addition to the PE requirement relaxation, it provides better transient response under jump change of the plant uncertai...
• Stability of Nonlinear Impulsive Systems: Self-Triggered Comparison System Approach AI翻译
  作者：Li, Xiaodi; Wang, Yuhan; Song, Shiji
  作者单位：Shandong Normal University; Tsinghua University
  摘要：This article presents a new approach to the problem of globally asymptotical stability for nonlinear impulsive systems by utilizing self-triggered impulsive control (STIC), where impulse instants are determined by a well-designed self-triggered mechanism, which is based on the comparison approach. Different from event-triggered impulsive control strategy in which the triggering conditions need to be continuously or periodically monitored to determine whether an impulse should be generated, our...
• Global Input Delay Tolerance of MIMO Nonlinear Systems Under Nonsmooth Feedback: A Homogeneous Perspective AI翻译
  作者：Yu, Xin; Lin, Wei
  作者单位：Jiangsu Normal University; University System of Ohio; Case Western Reserve University
  摘要：In this article, we tackle the problem of when a globally asymptotically stabilizable nonlinear system by either state or output feedback is globally tolerant to input delay. We focus on the case when the continuous system is not stabilizable by linear or smooth feedback, and thus, local exponential stabilizability is not fulfilled. With the aid of the Lyapunov-Krasovskii functional method and weighted homogeneity, we prove that for a multi-input multi-output nonlinear system with homogeneous ...
• Linear Convergence of ADMM Under Metric Subregularity for Distributed Optimization AI翻译
  作者：Pan, Xiaowei; Liu, Zhongxin; Chen, Zengqiang
  作者单位：Nankai University
  摘要：The alternating direction method of multipliers (ADMM) has seen much progress in the literature in recent years. Usually, linear convergence of distributed ADMM is proved under either second-order conditions or strong convexity. When both conditions fail, an alternative is expected to play the role. In this article, it is shown that distributed ADMM can achieve a linear convergence rate by imposing metric subregularity on a defined mapping. Furthermore, it is proved that both second-order cond...
• Stabilization and Reconstruction of Sampled-Data Boolean Control Networks Under Noisy Sampling Interval AI翻译
  作者：Sun, Liangjie; Ching, Wai-Ki
  作者单位：University of Hong Kong
  摘要：In this article, we consider stabilization and reconstruction of sampled-data Boolean control networks (BCNs) under noisy sampling interval. A sampled-data BCN under noisy sampling interval is first converted into a probabilistic Boolean network (PBN). We then obtain some necessary and sufficient conditions for global stochastic stability of the considered sampled-data BCN under two types of noisy sampling intervals. However, in analyzing the stochastic stability of large-scale sampled-data BC...