DocumentCode :
77726
Title :
Fuzzy Approximation-Based Adaptive Control of Nonlinear Delayed Systems With Unknown Dead Zone
Author :
Bing Chen ; Xiaoping Liu ; Kefu Liu ; Chong Lin
Author_Institution :
Inst. of Complexity Sci., Qingdao Univ., Qingdao, China
Volume :
22
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
237
Lastpage :
248
Abstract :
This paper focuses on the problem of adaptive fuzzy control for a class of nonlinear systems without a strict-feedback form. A new adaptive fuzzy control scheme is proposed for nonlinear delayed systems with unknown dead-zone nonlinearity. Control design is achieved by introducing a variable separation approach and employing the unique structural property of fuzzy logic systems. The proposed adaptive fuzzy controller guarantees that all the closed-loop signals are semiglobally uniformly ultimately bounded, and the tracking error converges to a small neighborhood of the origin. Two simulation examples illustrate the effectiveness of the proposed approach.
Keywords :
adaptive control; approximation theory; closed loop systems; control nonlinearities; control system synthesis; delays; fuzzy control; nonlinear control systems; control design; fuzzy approximation-based adaptive control; fuzzy logic system structural property; nonlinear delayed systems; semiglobally uniformly ultimately bounded closed-loop signals; unknown dead-zone nonlinearity; variable separation approach; Adaptive systems; Approximation methods; Backstepping; Fuzzy control; Fuzzy logic; Neural networks; Nonlinear systems; Adaptive fuzzy control; fuzzy logic systems; time delay;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2013.2250507
Filename :
6472762
Link To Document :
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