Title
A New Approach To Nonlinear Tracking Control Based On Fuzzy Approximation
Abstract
The problem of tracking control is addressed for a class of nonlinear systems with uncertainties. The original nonlinear systems are approximated by a fuzzy T-S model based on which a state-feedback controller is constructed by using the linear matrix inequalities. The approximating error is eliminated by an adaptive compensator based on fuzzy logic systems. The effectiveness of the proposed control scheme is demonstrated by a simulation example. The main advantage is that the designer makes milder constraint assumption for the approximation error and the uncertainties in nonlinear systems.
Year
DOI
Venue
2012
10.15837/ijccc.2012.1.1423
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
Keywords
DocType
Volume
fuzzy T-S model, fuzzy logic systems, nonlinear systems, uncertainties, tracking control
Journal
7
Issue
ISSN
Citations 
1
1841-9836
2
PageRank 
References 
Authors
0.71
11
3
Name
Order
Citations
PageRank
zhenbin du131.08
Tsung-Chih Lin236126.73
Valentina Emilia Balas319537.08