Điểu khiển thích nghi các hê thống phi tuyến cấu trúc thay đổi sử dụng hệ thống mờ nơ ron.

Chu Văn Hỷ

Abstract


In this paper, we present a method of nonlinear variable structure system control using neural fuzzy systems. All inverse model adaptive control scheme IS chosen. A neural fuzzy system with 011-line supervised structure and parameter learning (adapted from C.T. Lin. C.S.G. Lee) is analysed.

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Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology