Authors: Hugang Han
Addresses: Department of Management Information Systems, Prefectural University of Hiroshima, 1-1-71 Ujina-Higashi, Minami-ku, 734-8558 Hiroshima, Japan
Abstract: Amid design of fuzzy control systems, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. Clearly, if an unknown function belongs to the latter, the knowledge available about the function should be utilised as much as possible in the system development. 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.
Keywords: fuzzy control; fuzzy approximator; system stability; Lyapunov synthesis; MRAC; control design; model reference adaptive control.
International Journal of Computer Applications in Technology, 2006 Vol.27 No.2/3, pp.183 - 191
Published online: 19 Oct 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article