Evolutionary Computation Approach to Hammerstein Model Identification  

Oleh:

Hatanaka, Toshiharu ; Uosaki, Katsuji ; Koga, Masazumi

Jenis: Article from Article
Dalam koleksi: Final Program and Book of Abstracts: The 4th Asian Control Conference, September 25-27, 2002 (Sep. 2002), page 1730-1735.
Topik: Hammerstein Model; GA; ES; Genetic Algorithm
Fulltext: AC021651.PDF (145.14KB)

Isi artikel

A novel approach for nonlinear dynamic system identification is addressed for Hammerstein models, which are composed of a nonlinear static part followed by a linear dynamic system part. Assuming the nonlinear static part can be approximated by a piecewise linear function, we estimate its parameters by using the evolutionary computation approach such as genetic algorithm (GA) and evolution strategies (ES), while we estimate the linear dynamic system part by the least squares method. Numerical simulation studies illustrate the applicability of the proposed approach

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