SAC for Nonlinear Systems Using Elman Recurrent Neural Networks(Special Section on Digital Signal Processing)
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概要
- 論文の詳細を見る
This paper presents a method of simple adaptive control (SAC) for nonlinear systems using Elman recurrent neural networks (ERNNs). The control input is given by the sum of the output of a simple adaptive controller and the output of the ERNN. The ERNN is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the usual SAC. The role of the ERNN 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
- 2002-08-01
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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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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