3期

最新文章

• Adaptive Fixed-Time Control for High-Order Nonlinear Systems With Unknown Control Coefficients and Quantized Input AI翻译
  作者：Ma, Jiali; Fei, Shumin; Xu, Shengyuan; Cui, Guozeng
  作者单位：Nanjing University of Science & Technology; Southeast University - China; Suzhou University of Science & Technology
  摘要：This article considers the adaptive fixed-time control problem for high-order nonlinear systems in the presence of unknown control coefficients and quantized input. Unlike the previous results, the bounds of the control coefficients and the knowledge of the quantizer parameters are not required to be known. By utilizing adding a power integrator method, an adaptive controller is designed where a tuning parameter is introduced to compensate the unknown system parameters. By using the fixed-time...
• Arbitrarily Fast Robust KKL Observer for Nonlinear Time-Varying Discrete Systems AI翻译
  作者：Tran, Gia Quoc Bao; Bernard, Pauline
  作者单位：Universite PSL; MINES ParisTech
  摘要：This work presents the Kazantzis-Kravaris/Luenberger (KKL) observer design for nonlinear time-varying discrete systems. We first give sufficient conditionson the existence of a sequence of functions(Tk)k is an element of Ntrans-forming the given system dynamics into an exponentiallystable filter of the output in some other target coordinates,where an observer is directly designed. Then, we prove thatunder uniform Lipschitz backward distinguishability, themaps(Tk)k is an element of Nbecome unif...
• A Bayesian Nash Equilibrium-Based Moving Target Defense Against Stealthy Sensor Attacks AI翻译
  作者：Umsonst, David; Sartas, Serkan; Dan, Gyorgy; Sandberg, Henrik
  作者单位：Royal Institute of Technology; Middle East Technical University; Royal Institute of Technology
  摘要：We present a moving target defense strategy to reduce the impact of stealthy sensor attacks on feedback systems. The defender periodically and randomly switches between thresholds from a discrete set to increase the uncertainty for the attacker and make stealthy attacks detectable. However, the defender does not know the exact goal of the attacker but only the prior of the possible attacker goals. Here, we model one period with a constant threshold as a Bayesian game and use the Bayesian Nash ...
• Adaptive Identification With Guaranteed Performance Under Saturated Observation and Nonpersistent Excitation AI翻译
  作者：Zhang, Lantian; Guo, Lei
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
  摘要：This article investigates adaptive identification and prediction problems for stochastic dynamical systems with saturated output observations, which arise from various fields in engineering and social systems, but up to now still lack comprehensive theoretical studies including guarantees for the estimation performance needed in practical applications. With this impetus, this article has made the following main contributions. First, to introduce an adaptive two-step quasi-Newton algorithm to i...
• Stability of Consensus-Based Distributed Estimation Under Denial of Service AI翻译
  作者：Battistelli, Giorgio; Chisci, Luigi; Selvi, Daniela; Tesi, Pietro
  作者单位：University of Florence; University of Pisa; University of Pisa
  摘要：This article aims to study the stability properties of consensus-based distributed state estimation (DSE) in the presence of denial-of-service (DoS) attacks. Specifically, we adopt a model that describes DoS in terms of its average frequency and duration. We focus on a family of DSE algorithms enjoying stability properties in the ideal case of no attacks, and prove that such properties are preserved under DoS provided that appropriate conditions are satisfied, with specific emphasis on the rel...
• Safe Stabilization for Stochastic Time-Delay Systems AI翻译
  作者：Pan, Zhuo-Rui; Ren, Wei; Sun, Xi-Ming
  作者单位：Dalian University of Technology
  摘要：This article addresses the safe stabilization problem of stochastic nonlinear time-delay systems. Based on the Krasovskii approach, we first propose a stochastic control Lyapunov-Krasovskii functional to guarantee the stabilization objective and a stochastic control barrier-Krasovskii functional to ensure the safety objective. Both functionals are developed, respectively, for each control objectives for the first time. Since the optimization problem is not easy to be resolved for stochastic ti...
• A Note on Stability of Event-Triggered Control Systems With Time Delays AI翻译
  作者：Zhang, Kexue; Gharesifard, Bahman; Braverman, Elena
  作者单位：Queens University - Canada; University of California System; University of California Los Angeles; University of Calgary
  摘要：This note studies stability of event-triggered control systems with the event-triggered control algorithm proposed in (Zhang et al., 2022). We construct a novel Halanay-type inequality, which is used to show that sufficient conditions of the main results in (Zhang et al., 2022) ensure stability of the event-triggered control systems that was missing in (Zhang et al., 2022). It is also shown that a positive parameter in the proposed event-triggering condition in (Zhang et al., 2022) can be free...
• 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 ...
• Motion Planning Using Reactive Circular Fields: A 2-D Analysis of Collision Avoidance and Goal Convergence AI翻译
  作者：Becker, Marvin; Kohler, Johannes; Haddadin, Sami; Mueller, Matthias A.
  作者单位：Leibniz University Hannover; Swiss Federal Institutes of Technology Domain; ETH Zurich; Technical University of Munich; Technical University of Munich
  摘要：Recently, many reactive trajectory planning approaches were suggested in the literature because of their inherent immediate adaption in the ever more demanding cluttered and unpredictable environments of robotic systems. However, typically those approaches are only locally reactive without considering global path planning and no guarantees for simultaneous collision avoidance and goal convergence can be given. In this article, we study a recently developed circular field (CF)-based motion plan...
• Multiple-Pursuer Single-Evader Reach-Avoid Games in Constant Flow Fields AI翻译
  作者：Deng, Ruiliang; Zhang, Weixian; Yan, Rui; Shi, Zongying; Zhong, Yisheng
  作者单位：Tsinghua University; University of Oxford
  摘要：This article considers a planar multiple-pursuer single-evader reach-avoid game played in a constant flow field. Such a game problem arises in practical applications, such as maritime escort, aircraft confrontation in airflow fields, and defense of moving targets. The dominance boundary, which serves as an analogy to the Apollonius circle and the Cartesian oval, is investigated. The existence of semipermeable surfaces in the game is shown. Under reasonable assumptions, there exists a semiperme...