Piecewise Affine Modeling using Radial Basis Functions Network

Yusuke Harata; Toshiaki Itoh; Yoshihiro Hashimoto

doi:10.11499/sicep.2004.0_89_5

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_89_5

会議情報

主催: The Society of Instrument and Control Engineers

共催: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Piecewise Affine Modeling using Radial Basis Functions Network

*Yusuke Harata, Toshiaki Itoh, Yoshihiro Hashimoto

著者情報

会議録・要旨集フリー

p. 89

詳細

抄録

In this study, piecewise affine modeling using the Radial Basis Functions Network (RBFN) is proposed. Evaluation method of the model reliability is also proposed. RBFs can be added to improve the expression capability of nonlinearity and parameters and reliability indices can be updated recursively. This model can be available as a black box model for hybrid systems.

責任著者(Corresponding author)

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