A Fuzzy-Neural Network Control of Nonlinear Dynamic Systems

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 oontroller 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.

作 者： Li Shaoyuan Xi Yugeng   作者單位： Shanghai Jiaotong University, 200030, P. R. China  刊 名： 系統(tǒng)工程與電子技術(shù)(英文版)  EI SCI 英文刊名： JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS  年，卷(期)： 2000 11(1)  分類號：   關(guān)鍵詞： Fuzzy logic   Neural networks   Adaotive control   Nonlinear dynamic system  

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