DocumentCode :
2905398
Title :
Compensate controller design for solving the parameter drift problem of learning fuzzy control systems
Author :
Hsueh, Yao-Chu ; Su, Shun-Feng
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
1112
Lastpage :
1117
Abstract :
In order to solve the parameter drift problem of learning fuzzy control systems, a compensate controller is proposed based on the H-infinite control theory. The proposed compensate controller has the H-infinite tracking capability and thus is named as the H-infinite tracking compensator (HTC). The characteristic of the HTC design is that the concept of Lyapunov energy convergence is employed to solve the H-infinite controller design problem. Besides, for a leaning fuzzy control system, the HTC ensures the tracking error of the learning fuzzy control system is bounded. Therefore, the dead-zone modification can be used to stabilize the final learning stage of the adaptive fuzzy control system. In other words, the parameter drift problem of a learning fuzzy control system can be resolved by the use of dead-zone modification with HTC so that the stability problem does not appear.
Keywords :
Hinfin control; Lyapunov methods; adaptive control; compensation; control system synthesis; fuzzy control; learning systems; tracking; H-infinite control theory; H-infinite tracking capability; H-infinite tracking compensator; Lyapunov energy convergence; adaptive fuzzy control system; compensate controller design; dead-zone modification; learning fuzzy control systems; parameter drift problem; Adaptive control; Adaptive systems; Attenuation; Control systems; Error correction; Fuzzy control; Neural networks; Nonlinear control systems; Programmable control; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7584
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2008.4630509
Filename :
4630509
Link To Document :
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