Title
Observer-Based Adaptive Fuzzy Tracking Control For A Class Of Strict-Feedback Systems With Event-Triggered Strategy And Tan-Type Barrier Lyapunov Function
Abstract
In this paper, an observer-based adaptive fuzzy tracking control is considered for a class of strict-feedback nonlinear systems. The nonlinear functions and unmeasured states in the system are estimated by means of fuzzy logic systems and fuzzy state observers, respectively. In addition, the tan-type barrier Lyapunov specifies that the tracking error is limited to a given area. An improved event-triggered technique is introduced in the controller design to save the network resources and avoid the Zeno-behavior. It is proven that the proposed controller can ensure that all the signals of the closed-loop system are uniformly and ultimately bounded. Finally, the simulation results verify the feasibility of the design scheme.
Year
DOI
Venue
2020
10.1007/s40815-020-00948-0
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Keywords
DocType
Volume
Strict-feedback nonlinear systems, Fuzzy observer, Event-triggered control, Prescribed performance, Tan-type barrier Lyapunov function
Journal
22
Issue
ISSN
Citations 
8
1562-2479
1
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Chuang Gao1205.67
Xin Zhou212615.50
Xiaoping Liu393384.29
Yonghui Yang4146.61
Zhigang Li53411.35