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A method of simple adaptive control for MIMO nonlinear continuous-time systems using multifraction neural network

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4 Author(s)
Yasser, M. ; Grad. Sch. of Sci. & Tech., Chiba Univ., Japan ; Jiunshian Phuah ; Jianming Lu ; Yahagi, T.

This paper presents a method of continuous-time simple-adaptive control (SAC) for multi-input multi-output (MIMO) nonlinear systems using multifraction neural networks. The control input is given by the sum of the output of the simple adaptive controller and the output of the multifraction neural network is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the usual SAC. The role of the multifraction neural network is to construct a linearized model by minimizing the output error caused by nonlinearities in the control systems.

Published in:

Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings. 2003 IEEE/ASME International Conference on  (Volume:1 )

Date of Conference:

20-24 July 2003