A Method of Model Reference Adaptive Control for MIMO Nonlinear Systems Using Neural Networks
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概要
- 論文の詳細を見る
This paper presents a method of MRAC (model reference adaptive control) for MIMO (multi-input multi-output) 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 (neural network). 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.
- 社団法人電子情報通信学会の論文
- 2001-08-01
著者
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YAHAGI Takashi
Graduate School of Science and Technology, Chiba University
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Yahagi T
Graduate School Of Science And Technology Chiba University
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LU Jianming
The authors are with the Graduate School of Science and Technology, Chiba University
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YAHAGI Takashi
The authors are with the Graduate School of Science and Technology, Chiba University
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PHUAH Jiunshian
Graduate School of Science and Technology, Chiba University
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PHUAH Jiunshian
The authors are with the Graduate School of Science and Technology, Chiba University
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Phuah Jiunshian
Graduate School Of Science And Technology Chiba University
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Yahagi Takashi
The Authors Are With The Graduate School Of Science And Technology Chiba University
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