Title
Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint.
Abstract
This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint. A variable separation approach is introduced to overcome the difficulty arising from the nonstrict-feedback structure. The problem of input saturation is solved by introducing an auxiliary design system, and output constraint is handled by utilizing a barrier Lyapunov function. Combing fuzzy logic system with the adaptive backstepping technique, the semi-global boundedness of all variables in the closed-loop systems is guaranteed, and the tracking error is driven to the origin with a small neighborhood. The stability of the closed-loop systems is proved, and the simulation results reveal the effectiveness of the proposed approach.
Year
DOI
Venue
2017
10.1109/TSMC.2016.2557222
IEEE Trans. Systems, Man, and Cybernetics: Systems
Keywords
Field
DocType
Adaptive systems,Backstepping,Fuzzy control,Nonlinear systems,Closed loop systems,Artificial neural networks,Process control
Mathematical optimization,Backstepping,Nonlinear system,Adaptive system,Computer science,Control theory,Process control,Adaptive neuro fuzzy inference system,Fuzzy control system,Artificial neural network,Tracking error
Journal
Volume
Issue
ISSN
47
1
2168-2216
Citations 
PageRank 
References 
88
1.62
47
Authors
5
Name
Order
Citations
PageRank
Qi Zhou1159962.46
lijie wang254517.15
Chengwei Wu380422.12
Hongyi Li44084120.76
Haiping Du562140.92