Paper Info
Title
Adaptive finite-time direct fuzzy control for a nonlinear system with an unknown control gain based on an observer
Abstract
An adaptive fuzzy output tracking control scheme is presented for a class of strict-feedback systems with an unknown control gain in this paper. An ideal controller that can achieve finite-time stabilization of the filtered tracking error system is approximated by an ideal fuzzy logic system. The actual fuzzy function is used as the controller to estimate the ideal fuzzy system via on-line adjustment of system parameters. A τ-observer ( i.e., the control error observer) is designed to manage the unknown fuzzy control error. Unlike previous studies, new parameter adaptive laws are constructed in this study, and derivative calculations in the filtered tracking error system are not required. An adaptive direct fuzzy controller based on a τ-observer is thus proposed. The practical finite-time stabilization of the output tracking error and the boundedness of all states in the closed-loop system are also ensured. Finally, the effectiveness of the proposed control criterion is verified via two simulation examples.
Year
DOI
Venue
2022
10.1016/j.ins.2022.05.118
Information Sciences
Keywords
DocType
Volume
Observer,Filtered error,Adaptive control,Unknown control gain,Fuzzy system
Journal
607
ISSN
Citations 
PageRank 
0020-0255
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yaguang Li100.34
Yuanchun Jiang218421.24
Jianshan Sun319217.65
Chunhua Sun400.68
Yezheng Liu514524.69
Hai Wang677495.30