An Identification Method for a Block Oriented Model

DOI

10.2991/aiie-15.2015.116How to use a DOI?

Keywords

nonlinear system; block oriented model; system identification; intelligent algorithm

Abstract

A block oriented nonlinear system consists of a series of blocks. These blocks represent both memoryless nonlinearity and linear dynamics that comprise the overall input-output dynamics of system. Under this category, Hammerstein model is one of the block oriented model. The parameter identification method of Hammerstein model is proposed in this paper. The basic idea is that the nonlinear transfer function of the Hammerstein model can be changed to an intermediate model initially. Then, the parameters of the intermediate model are obtained via an improved particle swarm optimization algorithm. Next, through the relations of the parameters of the intermediate model and those of the Hammerstein model, the estimates of the parameters of the Hammerstein model are obtained. Finally, in simulation experiments, compared with other methods, the feasibility of the presented method is demonstrated.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - X.P. Xu
AU  - F. Wang
AU  - F. Dai
AU  - F.C. Qian
PY  - 2015/07
DA  - 2015/07
TI  - An Identification Method for a Block Oriented Model
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 425
EP  - 428
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.116
DO  - 10.2991/aiie-15.2015.116
ID  - Xu2015/07
ER  -