Sliding Mode Control for Markovian Jump Systems With Stochastic-Sampling-Based Event-Triggered Strategy

• 成果类型: Article
• 署名作者: Xu, Tianshu; Niu, Yugang; Cao, Zhiru
• 署名单位: East China University of Science & Technology; Shanghai University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3407826
• 发表日期: 2024
• 页码: 8064-8071
• 关键词: Switches; DELAYS; control systems; Stochastic processes; Symmetric matrices; Sliding mode control; Stability criteria; event-triggered control; Markovian jump systems (MJSs); sliding mode control (SMC); stochastic sampling

摘要

This work focuses on the event-triggered sliding mode control problem for Markovian jump systems under the stochastic sampling that randomly switches between two sampling periods. A stochastic variable is introduced to characterize the delay between the present instant and the previous sampling instant, through which a switchinglike event-triggered strategy is proposed via the present sampled state and the previous transmitted state. Meanwhile, a mode-dependent sliding surface is constructed and a switchinglike sliding mode controller is well designed via the triggered sampled states. By means of an improved mode-dependent looped functional, sufficient conditions are obtained for the stochastic stability of the closed-loop system and the reachability of the specified sliding surface. Furthermore, an optimization problem is established and solved via the particle swarm optimization algorithm with the objective of reducing the sliding region. Finally, numerical simulation and practical example are provided to illustrate the proposed event-triggered control scheme under stochastic sampling.