A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems

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  • HU Jinglu
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • KUMAMARU Kousuke
    Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
  • INOUE Katsuhiro
    Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
  • HIRASAWA Kotaro
    Graduate School of Information Science and Electrical Engineering, Kyushu University

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  • Hybrid Quasi-ARMAX Modeling Scheme for

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This paper proposes a hybrid quasi-ARMAX modeling and identification scheme for nonlinear systems. The idea is to incorporate a group of certain nonlinear nonparametric models (NNMs) into a linear ARMAX structure. Particular effort is made to find a better compromise to the trade-off between the model flexibility and the model simplicity by using knowledge information efficiently. As the result, we obtain a model equipped with a linear. ARMAX structure, flexibility and simplicity. The effectiveness and usefulness of the proposed hybrid model are examined by applying it to identification of a variety of nonlinear systems.

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