Gradient-Based Iterative Identification for Wiener Nonlinear Dynamic Systems with Moving Average Noises

Gradient-Based Iterative Identification for Wiener Nonlinear Dynamic Systems with Moving Average Noises

This paper focuses on the parameter identification problem for Wiener nonlinear dynamic systems with moving average noises. In order to improve the convergence rate, the gradient-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimat...

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Bibliographic Details
Main Authors: Lincheng Zhou, Xiangli Li, Huigang Xu, Peiyi Zhu
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Algorithms
Subjects:
nonlinear dynamic system
stochastic gradient
iterative algorithm
output error moving average
parameter estimation
Online Access:http://www.mdpi.com/1999-4893/8/3/712

Internet

http://www.mdpi.com/1999-4893/8/3/712

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