Optimal fuzzy event-triggered fault-tolerant control of fractional-order nonlinear stochastic systems

• Published in: Information sciences Vol. 678; p. 120877
• Main Authors: Yan, Yuqing, Zhang, Huaguang, Sun, Jiayue, Ming, Zhongyang
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.09.2024
• Subjects: Fault-tolerant control; Fractional-order nonlinear systems; Optimal control; Stochastic system; Fault-tolerant control; Stochastic system; Optimal control; Fractional-order nonlinear systems
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2024.120877

This paper considers the optimal fuzzy fault-tolerant control issue for fractional-order nonlinear stochastic systems (FONSS) using event-triggered mechanisms with fractional-order derivative α∈(0,1). First, in order to weaken the impacts of actuator and sensor faults, a fuzzy observer and augmented system are developed. Since stochastic disturbance can adversely affect stability, based on fractional Barbalat lemmas and Lyapunov theory, an adaptive fault-tolerant controller and the corresponding adaptive update law are designed to ensure the stability of FONSS. Then, the architecture of identifier-critic-actor NN, which is more concise than the traditional one, is described. This NN architecture recognizes unknown dynamics and completes control actions after evaluating the control performance, driving control toward optimization. Furthermore, the event-triggered mechanism is devised to save control resources and avoid Zeno behavior. Finally, simulation results demonstrate that under equivalent conditions, the proposed optimal event-triggered control reduces the number of information transmissions compared to traditional time-triggered control, saving communication resources and enhancing the overall control performance.