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Model reference adaptive control for multi-input multi-output nonlinear systems using neural networks

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3 Author(s)
Jiunshian Phuah ; Graduate Sch. of Sci. & Technol., Chiba Univ., Japan ; Jianming Lu ; Yahagi, T.

Presents a method of MRAC (model reference adaptive control) for multi-input multi-output (MIMO) nonlinear systems using NNs (neural networks). The control input is given by the sum of the output of a model reference adaptive controller and the output of the NN. The NN is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the usual MRAC. The role of the NN is to construct a linearized model by minimizing the output error caused by nonlinearities in the control systems

Published in:

Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on  (Volume:4 )

Date of Conference:

2001