1期

最新文章

• Robust Model Predictive Control for Asynchronously Switched Linear Systems With Intermittent Controller Failures AI翻译
  作者：Tan, Tianyu; Zhuang, Songlin; Shi, Yang
  作者单位：University of Victoria; Yongjiang Laboratory
  摘要：Switched systems, as an exceptional modeling tool, may face threats to unexpected variations from the environment (e.g., external disturbances) or unreliable networks (e.g., desired controllers lagged to enabled subsystems or even controller disconnection). This article aims to study the robust model predictive control problem for a class of disturbed asynchronously switched systems with occasional controller disconnection. To mitigate the adverse effect of additive disturbances, a tube-based ...
• Newton Nonholonomic Source Seeking for Distance-Dependent Maps AI翻译
  作者：Todorovski, Velimir; Krstic, Miroslav
  作者单位：Technical University of Munich; University of California System; University of California San Diego
  摘要：The topics of source seeking and Newton-based extremum seeking have flourished, independently, but never combined. We present the first Newton-based source seeking algorithm for a unicycle vehicle model. The algorithm employs forward velocity tuning, as in the very first source seeker for the unicycle, and incorporates an additional Riccati filter for inverting the Hessian and feeding it into the demodulation signal. Using second-order Lie bracket averaging, we prove convergence to the source ...
• Event-Triggered State Interval Estimation and Fault-Tolerant Control for Multiagent Systems Under Deception Attacks AI翻译
  作者：Zhou, Meng; Li, Haicheng; Xue, Tonglai; Wang, Jing; Rassi, Tarek
  作者单位：North China University of Technology; heSam Universite; Conservatoire National Arts & Metiers (CNAM)
  摘要：This article investigates the problem of interval state and attack signal estimation and fault tolerant consistent control in multiagent systems under the influence of deception attacks. First, the deception attack signal is transformed into an auxiliary state vector to generate a state-augmented multiagent system, which makes the estimation problem tractable with a state observer. In addition, an event-triggered mechanism is designed for the observer to reduce unnecessary network communicatio...
• Minimum Bitrate Neuromorphic Encoding for Continuous-Time Gauss-Markov Processes AI翻译
  作者：Cuvelier, Travis; Ogden, Ronald; Tanaka, Takashi
  作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
  摘要：In this work, we study minimum data rate tracking of a dynamical system under a neuromorphic event-based sensing paradigm. We begin by bridging the gap between continuous-time (CT) system dynamics and information theory's causal rate distortion theory. We motivate the use of nonsingular source codes to quantify bitrates in event-based sampling schemes. This permits an analysis of minimum bitrate event-based tracking using tools already established in the control and information theory literatu...
• Periodically Intermittent Control of Hybrid Stochastic Delay Systems With Asynchronous Switching by Sampled-Data Feedback AI翻译
  作者：Wan, Fangzhe; Zhao, Xueyan; Deng, Feiqi; Huang, Yongjia
  作者单位：South China University of Technology
  摘要：In this article, the design of periodically intermittent controller (PIC) using sampled-data feedback for hybrid stochastic delay systems (SDSs) with asynchronous switching is studied. This article can be divided into two parts. First, the design of sampled-data-based controllers (SDBCs) via lifting technique (LT) for SDSs with asynchronous switching is discussed. Then, for SDSs with SDBCs, this article takes a further step to design sampled-data-based PIC, which is also based on the LT. For S...
• A Uniform Framework of Yau-Yau Algorithm Based on Deep Learning With the Capability of Overcoming the Curse of Dimensionality AI翻译
  作者：Chen, Xiuqiong; Sun, Zeju; Tao, Yangtianze; Yau, Stephen S. -T.
  作者单位：Renmin University of China; Tsinghua University; Tsinghua University
  摘要：In numerous application areas, high-dimensional nonlinear filtering is still a challenging problem. The introduction of deep learning and neural networks has improved the efficiency of classical algorithms and they perform well in many practical tasks. However, a theoretical interpretation of their feasibility is still lacking. In this article, we exploit the representational ability of recurrent neural networks (RNNs) and provide a computationally efficient and optimal framework for nonlinear...
• A Generalized Passivity Theory Over Abstract Time Domains AI翻译
  作者：Moreschini, Alessio; Bin, Michelangelo; Astolfi, Alessandro; Parisini, Thomas
  作者单位：Imperial College London; University of Bologna; University of Cyprus; University of Rome Tor Vergata; Aalborg University; University of Trieste
  摘要：Passivity is a well-established concept for continuous-time systems. Yet, its application to discrete time, delay, or other classes of systems is somewhat limited, leading to inconsistencies and disparities. In this article, we study a new notion, $\varrho$-passivity, which reduces to standard passivity in the continuous-time case but addresses some of the aforementioned limitations when applied to other classes of systems. In particular, in an abstract input-output setting, we show that $\var...
• Exponential Mean-Square Stabilization Control for Cyber-Physical Systems Under Random DoS Attacks and Transmission Delay AI翻译
  作者：Tan, Cheng; Di, Jianying; Guo, Ge; Li, Yuzhe; Wong, Wing Shing
  作者单位：Qufu Normal University; Northeastern University - China; Northeastern University - China; Chinese University of Hong Kong
  摘要：In this article, we address the problem of exponential mean-square stabilization control for cyber-physical systems (CPSs) characterized by time-varying parameters, random denial-of-service (DoS) attacks, and transmission delay. The motivation arises from the increasing complexity and vulnerability of CPSs, which are prone to various networked challenges, including random DoS attacks and transmission delays. In addition, the presence of time-varying parameters further exacerbates the difficult...
• Trustworthy Distributed Average Consensus Based on Locally Assessed Trust Evaluations AI翻译
  作者：Hadjicostis, Christoforos N.; Dominguez-Garcia, Alejandro D.
  作者单位：University of Cyprus; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：This article proposes a distributed algorithm for average consensus in a multiagent system under a fixed bidirectional communication topology, in the presence of untrustworthy (malicious) agents (nodes) that may try to influence the average consensus outcome by manipulating their updates. The proposed algorithm converges asymptotically to the average of the initial values of the trustworthy (nonmalicious) nodes, which we refer to as the trustworthy average, as long as the underlying topology t...
• Region-Free Explicit Model-Predictive Control for Linear Systems on Hilbert Spaces AI翻译
  作者：Kurula, Mikael; Humaloja, Jukka-Pekka; Dubljevic, Stevan
  作者单位：Abo Akademi University; Technical University of Crete; University of Alberta
  摘要：In this article, we extend discrete-time explicit model-predictive control (MPC) rigorously to linear distributed parameter systems. After formulating an MPC framework and giving a relevant Karush-Kuhn-Tucker theorem, we realize fast regionless explicit MPC by using the dual-active-set method QPKWIK. A Timoshenko beam with input and state constraints is used to demonstrate the efficacy of the design at controlling a continuous-time hyperbolic partial differential equation with constraints, usi...