A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise
Abstract
In this paper, an adaptive identification scheme is proposed for nonlinear multi-input multi-output systems with colored noise based on a novel parameter update law. With the help of the hierarchical principle, the identification model is decomposed into three sub-models in which the computational burden is reduced. For each sub-model, the identification algorithm is proposed to estimate the sub-model parameters. In the process of the...
Paper Details
Title
A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise
Published Date
Mar 1, 2022
Volume
103
Pages
105 - 121
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