A Design of Neural-Net Based PID Controllers with Evolutionary Computation(Systems and Control)
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概要
- 論文の詳細を見る
PID control schemes have been widely used for many industrial processes, which can be represented by nonlinear systems. In this paper a new scheme for neural-net based PID controllers is presented. The connection weights and some parameters of the sigmoidal functions of the neural network are adjusted using a real-coded genetic algorithm. The effectiveness of the newly proposed control scheme for nonlinear systems is numerically evaluated using a simulation example.
- 社団法人電子情報通信学会の論文
- 2004-10-01
著者
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YAMAMOTO Toru
Department of Radiology, Fukui Medical University
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Yamamoto Toru
Department Of Internal Medicine Yamaguchi University School Of Medicine
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Tsuji Toshio
Department Of Electronics And Information Science Kyoto Institute Of Technology
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Tsuji Toshio
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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Yamamoto T
Graduate School Of Engineering Hokkaido University
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Suzuki M
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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Suzuki Michiyo
Department Of Chemistry Faculty Of Science Ochanomizu University
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Suzuki Michiyo
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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Yamamoto Toru
Department Of Technology And Information Education Graduate School Of Education Hiroshima University
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Yamamoto Toru
Department Of Anesthesiology Nihon University School Of Medicine
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