Fuzzy controllers for a class of discrete-time nonlinear systems

Authors:
Hugang Han;Akira Ikuta
Affiliations:
Department of Management Information System, Prefectural University of Hiroshima, Minami-ku, Hiroshima, Japan 734-8558;Department of Management Information System, Prefectural University of Hiroshima, Minami-ku, Hiroshima, Japan 734-8558
Venue:
Artificial Intelligence Review
Year:
2007

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Abstract

In consideration of system stability, two fuzzy controllers for a class of discrete-time nonlinear systems are proposed. When the knowledge on the control process is available, a fuzzy controller will maintain it as much as possible. In the other case where such knowledge is unavailable, another fuzzy controller can be used where the fuzzy rules are viewed as approximators to deal with some unknown parts in the system to be controlled. Computer simulations are provided to illustrate the effectiveness of the fuzzy controllers proposed in this paper.