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Nonlinear system identification by evolutionary computation and recursive estimation method

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2 Author(s)
Jih-Gau Juang ; Dept. of Commun. & Guidance Eng., Nat. Taiwan Occan Univ., Keelung, Taiwan ; Bo-Shian Lin

Nonlinear system identification using evolutionary computation and recursive estimation method is presented. Four different recursive estimation methods, recursive least-squares, recursive least-squares with exponential forgetting, stochastic algorithm, and projection algorithm, combined with evolution algorithm are used in this study. Conventional system identification using recursive estimation methods are also given for comparison. After test, the proposed scheme has better convergence and accuracy on parameter estimation than the conventional estimation method.

Published in:

American Control Conference, 2005. Proceedings of the 2005

Date of Conference:

8-10 June 2005