Nonlinear Systems Approximation Using a Piecewise Affine Model Based on a Radial Basis Functions Network
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, a modeling method of high dimensional piecewise affine models is proposed. Because the model is expressed by radial basis function networks, whose RBFs are located at the grid points of the orthogonal coordinate in the input space, the shape of the piecewise affine model becomes easily understood. The more the number of RBFs is, the higher the approximation capability of the model is. The algorithm to increase the number of RBFs was developed in focusing on the distribution of estimation errors. By approximating nonlinear processes with piecewise affine models, control theories using mixed logical dynamical systems can be applied.
- 社団法人 化学工学会の論文
- 2006-10-01
著者
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Sakamoto Masaru
Department of Gynecology, Sasaki Foundation Kyoundo Hospital
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HASHIMOTO Yoshihiro
Department of Nephro-urology, Nagoya City University, Graduate School of Medical Sciences
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Hamaguchi Takashi
Department Of Computer Science Nagoya Institute Of Technology
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Sakamoto Masaru
Department Of Computer Science Nagoya Institute Of Technology
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ITOH TOSHIAKI
Department of Systems Management and Engineering, Nagoya Institute of Technology
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Itoh Toshiaki
Department Of Information Science Nagoya Institute Of Technology
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OTA Yutaka
Department of Computer Science, Nagoya Institute of Technology
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DONG Duo
Department of Information Science, Nagoya Institute of Technology
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Dong Duo
Department Of Information Science Nagoya Institute Of Technology
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Ota Yutaka
Department Of Computer Science Nagoya Institute Of Technology
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Hashimoto Y
Department Of Computer Science Nagoya Institute Of Technology
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Hashimoto Yoshihiro
Department Of Nephro-urology Nagoya City University Graduate School Of Medical Sciences
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Hamaguchi Takashi
Department Of Information Science Nagoya Institute Of Technology
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Hashimoto Yoshihiro
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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