Probabilistic Event-Triggered Policy for Extended Dissipative Finite-Time Control of MJSs under Cyber-Attacks and Actuator Failures

• 成果类型: Article
• 署名作者: Chen, Haiyang; Zong, Guangdeng; Gao, Fangzheng; Shi, Yang
• 署名单位: Tiangong University; Nanjing Institute of Technology; Nanjing Institute of Technology; University of Victoria
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3246429
• 发表日期: 2023
• 页码: 7803-7810
• 关键词: Actuator failure; cyber-attack; extended dissipative finite-time control; Markov jump system (MJS); probabilistic event-triggered mechanism (PETM)

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 random variable of any discrete-time distribution over [0, 1]. First, based on the PETM and SAFM, static output-feedback controllers are devised, which may not switch with the system synchronously. Then, novel sufficient conditions with less conservatism are obtained to achieve the extended dissipative finite-time control performance of the closed-loop system under admissible cyber-attacks and actuator failures. Furthermore, controller gains with nonconvex constraints are calculated with the aid of a newly proposed lemma. Finally, an application oriented example is provided to verify the effectiveness and superiority of the proposed results.