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A fuzzy-neural network control of nonlinear dynamic systems

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2 Author(s)
Li Shaoyuan ; Shanghai Jiaotong University, 200030, P. R. China ; Xi Yugeng

In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feedforward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications.

Published in:

Journal of Systems Engineering and Electronics  (Volume:11 ,  Issue: 1 )