Adaptive fuzzy output-feedback fault-tolerant tracking control of a class of uncertain nonlinear switched systems. Issue 14 (26th October 2019)

• Record Type: Journal Article
• Authors: Cui, Di; Niu, Ben; Wang, Huanqing; Yang, Dong
• Is Part Of: International journal of systems science. Volume 50:Issue 14(2019)
• Page Start: 2673
• Page End: 2686
• Publication Date: 2019-10-26
• Subjects: Adaptive fuzzy control -- fault-tolerant -- switched nonlinear systems -- average dwell time -- fuzzy logic systems; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2019.1672119
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: This paper considers the output-feedback fault-tolerant tracking control problem for a class of uncertain nonlinear switched systems with nonlinear faults and strict-feedback form, where the faults which are nonaffine occur on the actuator. As a kind of specialised function approximating tool, fuzzy logic systems (FLSs), are employed to approximate the unknown smooth nonlinear functions. A switched fuzzy observer is designed to address the problem of unmeasurable states, filtered signals are used to address algebraic loop problem and the average dwell time (ADT) method is further utilised to prove the stability of the resulting closed-loop systems under a type of slowly switching signals. Based on the backstepping recursive design technique and Lyapunov function method, an adaptive fuzzy output-feedback control scheme is developed. The developed control method can ensure all the signals are semi-globally uniformly ultimately bounded (SGUUB) and the system output tracks the reference signal tightly even if unknown fault occurs. A simulation carried on an example demonstrates the validity of the obtained control scheme.