Điểu khiển mờ thích nghi các hệ thống phi tuyến thời gian rời rạc

Chu Văn Hỷ

Abstract


This paper present a method of designing an adaptive fuzzy controller for discrete - time nonlinear systems. The unknown nonlinear fuctions f(x), g(x) are modeled by fuzzy system f (x, θf). g (x, θg) with singleton fuzzifier, product inference engine, center average defuzzifier. The adaptation laws for the adjustable parameters θf, θg are obtained by using gradient descent algorithm or recusive least squares method.

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Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology