Recursive Least-Squares Estimation for Hammerstein Nonlinear Systems with Nonuniform Sampling

Xiangli Li, Lincheng Zhou, Ruifeng Ding and Jie Sheng

Mathematical Problems in Engineering, 2013, vol. 2013, 1-8

Abstract:

This paper focuses on the identification problem of Hammerstein nonlinear systems with nonuniform sampling. Using the key-term separation principle, we present a discrete identification model with nonuniform sampling input and output data based on the frame period. To estimate parameters of the presented model, an auxiliary model-based recursive least-squares algorithm is derived by replacing the unmeasurable variables in the information vector with their corresponding recursive estimates. The simulation results show the effectiveness of the proposed algorithm.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:240929

DOI: 10.1155/2013/240929

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