TY - CHAP
T1 - Hybrid quasi-ARMAX modeling scheme for identification and control of nonlinear systems
AU - Hu, Jinglu
AU - Kumamaru, Kousuke
AU - Inoue, Katsuhiro
PY - 1996/12/1
Y1 - 1996/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0030389013&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030389013&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:0030389013
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1413
EP - 1418
BT - Proceedings of the IEEE Conference on Decision and Control
A2 - Anon, null
T2 - Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
Y2 - 11 December 1996 through 13 December 1996
ER -