DocumentCode :
2847903
Title :
Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach
Author :
Hou, Zeng-Guang ; Zou, An-Min ; Wu, Fang-Xiang ; Cheng, Long ; Tan, Min
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
23-26 Aug. 2008
Firstpage :
821
Lastpage :
826
Abstract :
This paper presents an adaptive fuzzy controller for the robust backstepping control of a class of uncertain nonlinear systems in pure-feedback form. The proposed approach incorporates the Nussbaum gain function (NGF) and the dynamic surface control (DSC) into the existing adaptive fuzzy control scheme. The major features of the proposed method are that: 1) the two problems, control directions and control singularity, are well solved by use of the NGF; 2) the problem of ldquoexplosion of complexityrdquo inherent to the existing backstepping methods is eliminated by introducing the DSC technique; 3) the proposed control scheme has the adaptive mechanism with fewer adaptive laws, which results in less computation time burden. The performance of the proposed approach is demonstrated through a simulation example.
Keywords :
adaptive control; feedback; fuzzy control; nonlinear control systems; robust control; uncertain systems; DSC; NGF; Nussbaum gain function; adaptive dynamic surface control; dynamic surface control; fuzzy backstepping approach; pure-feedback form; robust control; uncertain nonlinear systems; Adaptive control; Backstepping; Computational modeling; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4244-2022-3
Electronic_ISBN :
978-1-4244-2023-0
Type :
conf
DOI :
10.1109/COASE.2008.4626478
Filename :
4626478
Link To Document :
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