Event-triggered fault-tolerant control for nonlinear systems with semi-Markov process. Issue 9 (2nd September 2022)

• Record Type: Journal Article
• Authors: Yao, Xiang-Yu; Park, Ju H.; Ding, Hua-Feng; Ge, Ming-Feng
• Is Part Of: International journal of control. Volume 95:Issue 9(2022)
• Page Start: 2315
• Page End: 2325
• Publication Date: 2022-09-02
• Subjects: Event-triggered control -- fault-tolerant control -- quantisation -- semi-Markov process -- unknown control directions; Automatic control -- Periodicals; Electronic journals; 629.8
• DOI: 10.1080/00207179.2021.1908599
• Languages: English
• ISSNs: 0020-7179

Abstract

ABSTRACT: In this paper, the collaborative control of multiple nonlinear Euler-Lagrange systems with actuator faults and stochastic semi-Markov jump networks (SMJNs) is concerned. In order to fulfil high reliability and low consumption, several novel event-triggered fault-tolerant control (ETFTC) algorithms are established to simultaneously eliminate the undesirable faults and save control resources, where only quantised partial-state signal of neighbours is required for the control process. Moreover, some ubiquitous constraints, such as unknown control directions and time-varying communication delays, are also comprehensively considered and effectively excluded so as to further enhance the control reliability. Meanwhile, some sufficient criteria on the algorithm synthesis and stability analysis without involving Zeno behaviour are successfully built with the aid of Lyapunov–Krasovskii functional. Finally, some illustrative simulations are performed to validate the feasibility and effectiveness of the derived ETFTC algorithms.