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Adaptive intelligent control of MIMO nonlinear systems based on generalized fuzzy neural network

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2 Author(s)
Yang Gao ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Meng Joo Er

This paper presents a robust adaptive fuzzy neural controller (AFNC) suitable for control of uncertain multi-input-multi-output (MIMO) nonlinear systems. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure, (2) fast online learning ability of uncertain MIMO nonlinear systems; and (3) adaptive robust control. Two simulation examples are used to demonstrate excellent performance of the proposed controller

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Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:3 )

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