Estimation of wiener nonlinear systems with measurement noises utilizing correlation analysis and Kalman filter
Feng Li,
Shengyi Qian,
Naibao He
et al.
Abstract:This paper is concerned with parameter estimation of Wiener systems with measurement noises employing correlation analysis method and adaptive Kalman filter. The presented Wiener system consists of two series blocks, that is, a dynamic block represented by auto‐regressive moving average (ARMA) model, and static nonlinear block established by neural fuzzy model. Aim at estimating separately the two blocks, the separable signals are introduced. First, applying the separable signals to decouple the identification… Show more
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