Simple Adaptive Control for MIMO Nonlinear Continuous-Time Systems Using Neural Networks
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概要
- 論文の詳細を見る
This paper presents a method of continuous-time SAC (simple adaptive control) for MIMO (multi-input multi-output) nonlinear systems using neural networks. The control input is given by the sum of the output of the simple adaptive controller and the output of the neural network. The 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 neural network is to construct a linearized model by minimizing the output error caused by nonlinearities in the control systems.
- 社団法人 電気学会の論文
- 2004-08-01
著者
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LU Jianming
Graduate School of Science and Technology, Chiba University
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YAHAGI Takashi
Graduate School of Science and Technology, Chiba University
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Lu Jianming
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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Yahagi Takashi
Graduate School Of Advanced Integration Science Chiba University
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YASSER Muhammad
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
Graduate School Of Science And Technology Chiba University
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