Fuzzy model reference adaptive control system

Authors:
Hugang Han
Affiliations:
Department of Management and Information Sciences, Hiroshima Prefectural University, Shobara-shi, Hiroshima, Japan
Venue:
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Year:
2005

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Abstract

When using the Lyapunov synthesis approach to construct a stable fuzzy control system, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system to be controlled. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. However, most of the schemes presented so far have only focused on the former. Clearly, if an unknown function belongs to the latter, the knowledge available about the function should be utilized as much as possible in the development of the control system. In this paper, our goal is to design a fuzzy controller for a class of model reference adaptive systems with uncertainties, which can correspond to the either case. Also, we propose a unique way to deal with the uncertainties, i.e., adopt a switching function with an alterable coefficient, which is tuned by adaptive law based on the tracking error.