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A hybrid quasi-ARMAX modeling scheme for identification and control of nonlinear systems

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3 Author(s)
Jinglu Hu ; Fac. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Iizuka, Japan ; K. Kumamaru ; K. Inoue

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 simplicity for estimation 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 and control of nonlinear systems

Published in:

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on  (Volume:2 )

Date of Conference:

11-13 Dec 1996