Hệ thống mờ nơron với học cấu trúc trên cơ sở cộng hưởng thích nghi và ứng dụng trong điều khiển “đón đầu trước một bước”

Chu Văn Hỷ

Abstract



A neural fuzzy system with structure learning based on the adaptive resonance theory can dynamically partion the input-output spaces and find proper fuzzy rules. The back-propagation algorithm is then used for tuning membership functions. A nonlinear one-step-ahead control strategy is applied. Rather than using two nets, here we need only one net. The stability of the tracking system is also analysed.




Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology