Adaptive fuzzy tracking of switched nonstrict-feedback nonlinear systems with state constraints based on event-triggered mechanism

Yongchao Liu; Qidan Zhu; Xing Zhou; Lipeng Wang

doi:10.1016/j.isatra.2021.03.014

Adaptive fuzzy tracking of switched nonstrict-feedback nonlinear systems with state constraints based on event-triggered mechanism

ISA Trans. 2022 Feb:121:30-39. doi: 10.1016/j.isatra.2021.03.014. Epub 2021 Apr 1.

Authors

Yongchao Liu¹, Qidan Zhu², Xing Zhou³, Lipeng Wang¹

Affiliations

¹ College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China; Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin, 150001, China.
² College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China; Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin, 150001, China. Electronic address: heu406@126.com.
³ Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang, 621000, China.

PMID: 33845997
DOI: 10.1016/j.isatra.2021.03.014

Abstract

This paper is devoted to develop an adaptive fuzzy tracking control scheme for switched nonstrict-feedback nonlinear systems (SNFNS) with state constraints based on event-triggered mechanism. All state variables are ensured to keep the predefined regions by employing barrier Lyapunov function (BLF). The fuzzy logic systems are exploited to cope with the unknown dynamics existing the SNFNS. It proposes to mitigate data transmission and save communication source whereby the event-triggered mechanism. With the aid of Lyapunov stability analysis and the average dwell time (ADT) method, it is shown that all variables of the entire SNFNS are uniformly ultimate bounded (UUB) under switching signals. Finally, simulation studies are discussed to substantiate the validity of theoretical findings.

Keywords: Adaptive fuzzy control; Event-triggered mechanism; Nonstrict-feedback structure; Switched systems.