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
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.
Document Type: Research article
Publication date: 2006-10-19
- 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.