Paper Info
Title
Fuzzy Adaptive Tracking Control for Switched Nonlinear Systems With Full Time-Varying State Constraints
Abstract
In this paper, a novel fuzzy adaptive tracking control scheme is presented for a class of nonstrict-feedback uncertain switched nonlinear systems by taking into account constraint. The considered switched nonlinear system contains unknown nonlinearities. In the design process, firstly, the problem of state constraints is coped with by utilizing the asymmetric time-varying barrier Lyapunov functions (TABLFs), and the problem of “explosion of complexity” is solved by dynamic surface control (DSC) technology. Secondly, fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear dynamics. Under the framework of adaptive control design, the switched adaptive state feedback controller is designed, which can guarantee all states cannot violate their constrained sets. Then, based on the Lyapunov function and average dwell time (ADT) approach, the theoretical analysis is provided for the closed-loop systems within constraint performance bounded. Finally, a numerical example is proposed to further elaborate the effectiveness of the presented control scheme.
Year
DOI
Venue
2019
10.1016/j.neucom.2019.03.054
Neurocomputing
Keywords
Field
DocType
Full state constraints,Uncertain switched nonlinear systems,Average dwell time,Fuzzy adaptive control
Dwell time,Lyapunov function,Nonlinear system,Control theory,Full state feedback,Fuzzy logic,Engineering design process,Artificial intelligence,Adaptive control,Mathematics,Machine learning,Bounded function
Journal
Volume
ISSN
Citations 
352
0925-2312
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Wu Wei120414.84
Shaocheng Tong28625289.74
Yongming Li34931147.76