Identification of the Hammerstein model in the presence of bounded disturbances

M. Boutayeb, M. Darouach
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引用次数: 3

Abstract

In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.
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存在有界扰动时Hammerstein模型的辨识
本文提出了一种简单实用的多输入单输出(MISO) Hammerstein模型在未知有界干扰下的递归辨识方法。该算法使估计参数与测量值和噪声约束相一致。利用Lyapunov方法,建立了渐近收敛的充分条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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