A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints

• Published in: International journal of control Vol. 97; no. 4; pp. 651 - 661
• Main Authors: Li, Na, Han, Yu-Qun, He, Wen-Jing, Zhu, Shan-Liang
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.04.2024; Taylor & Francis Ltd
• Subjects: Actuators; Adaptive control; Closed loops; Constraints; Control systems design; Controllers; Fault tolerance; Faults; Feedback control; full state constraints; Liapunov functions; multi-dimensional Taylor networks; multiple faults; Nonlinear systems; Stochastic nonlinear systems; Stochastic systems
• ISSN: 0020-7179; 1366-5820
• DOI: 10.1080/00207179.2022.2163297

In this paper, the control issue of adaptive fault-tolerant is studied for a class of stochastic nonlinear systems with multiple faults and full state constraints, with multiple faults including the actuator faults and the external system fault. The problem with full state constraints are solved by constructing a logarithmic barrier Lyapunov functions (BLFs). By integrating multi-dimensional Taylor network (MTN) technology into the backstepping process, a new adaptive MTN-based fault-tolerant controller is designed. On the basis of considering multiple faults, the proposed control strategy can ensure that all signals in the closed-loop system are semi-global ultimately uniformly bounded (SGUUB) in probability, and all states of the system are constrained within the given boundary. Finally, three simulation examples are given to illustrate the effectiveness and practicability of the proposed control strategy.