4.6 Article

Asynchronous Sliding Mode Control Under Round-Robin Protocol-Based Event-Triggered Communication

Journal

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
Volume 10, Issue 3, Pages 1424-1435

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCNS.2022.3232522

Keywords

Dynamic event-triggering; Markov jump systems (MJSs); round-robin protocol (RRP); variable-structure control (VSC)

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This article addresses the problem of sliding-mode variable-structure control (VSC) under dynamic event-triggered communication in hidden Markov jump systems over sensor networks. A round-robin protocol (RRP)-based event-triggering communication mechanism is proposed to alleviate communication burden. New static output-feedback VSC laws are designed with an interval type-2 fuzzy neural network for approximating uncertainties. The paper develops techniques to analyze the RRP-based Markov jump system in continuous time and provides sufficient conditions for semiglobal practical finite-time stochastic stability. Numerical simulations confirm the feasibility of the proposed method.
This article deals with the problem of sliding-mode variable-structure control (VSC) under dynamic event-triggered communication, for hidden Markov jump systems over sensor networks. A round-robin protocol (RRP)-based event-triggering communication mechanism is proposed to significantly mitigate the burden of communication between the sensor network and the controller. Then, new static output-feedback VSC laws are designed, with an interval type-2 fuzzy neural network integrated to approximate uncertain system perturbations. Unlike existing results that the RRP is applied to discrete-time systems due to its relatively simple analysis, this work develops some techniques to analyze the RRP-based Markov jump system in continuous time. Sufficient conditions of the semiglobal practical finite-time stochastic stability are provided for the resulting variable-structure system. Finally, the feasibility of the proposed method is verified via numerical simulations.

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