Fuzzy controller design for a class of model reference adaptive systems

Author: Han, Hugang

Source: International Journal of Computer Applications in Technology, Volume 27, Numbers 2-3, 19 October 2006 , pp. 183-191(9)

Publisher: Inderscience Publishers

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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: COMPUTING JOURNALS; Computing Science, Applications and Software; TECHNICAL JOURNALS; Materials and Manufacturing; Simulation and Modelling

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJCAT.2006.011144

Affiliations: 1: Department of Management Information Systems, Prefectural University of Hiroshima, 1-1-71 Ujina-Higashi, Minami-ku, 734-8558 Hiroshima, Japan

Publication date: 2006-10-19

More about this publication?

The International Journal of Computer Applications in Technology addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.