维纳模型识别的进化计算方法

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1007047

T. Hatanaka, K. Uosaki, M. Koga

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引用次数: 16

摘要

针对由线性动态系统部分和非线性静态部分组成的维纳模型，提出了一种非线性动态系统辨识的新方法。假设非线性静态部分可逆，利用遗传算法(GA)和进化策略(ES)等进化计算方法估计出逆函数的分段线性函数，利用最小二乘法估计线性动态部分。

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Evolutionary computation approach to Wiener model identification

A novel approach for nonlinear dynamic system identification is addressed for Wiener models, which are composed of a linear dynamic system part followed by a nonlinear static part. Assuming the nonlinear static part is invertible, we approximate the inverse function by a piecewise linear function, which is estimated 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.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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