Paper Info
Title
Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems
Abstract
In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-feedback nonlinear systems, in which the nonlinear functions are unknown and the states are not available for feedback. By fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive high-gain observer is designed to estimate the unmeasured states. Under the framework of the backstepping design, fuzzy adaptive output feedback control is constructed recursively. It is shown that the proposed fuzzy adaptive control approach guarantees the semi-global boundedness property for all the signals of the resulting closed-loop system. Simulation results are included to illustrate the effectiveness of the proposed techniques.
Year
DOI
Venue
2011
10.1016/j.ins.2011.01.040
Inf. Sci.
Keywords
Field
DocType
fuzzy adaptive high-gain observer,fuzzy adaptive output feedback,proposed technique,proposed fuzzy adaptive control,backstepping design,nonlinear function,siso strict-feedback nonlinear system,fuzzy logic system,fuzzy adaptive high-gain-based observer,new fuzzy adaptive control,siso nonlinear system,unknown nonlinear function,adaptive control,backstepping control,nonlinear system,nonlinear systems
Backstepping,Nonlinear system,Control theory,Fuzzy logic,Adaptive neuro fuzzy inference system,Adaptive control,Fuzzy control system,Observer (quantum physics),Recursion,Mathematics
Journal
Volume
Issue
ISSN
181
11
0020-0255
Citations 
PageRank 
References 
35
0.99
25
Authors
3
Name
Order
Citations
PageRank
Changying Li15610.72
Shaocheng Tong28625289.74
Wei Wang37122746.33