Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique-Reference-Cited by-同舟云学术

Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique

Published:2011-12 Issue:11 Volume:62 Page:4170-4177
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Li Junhong,Ding Feng

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference51 articles.

1. Identification of multiple-input single-output Hammerstein models using Bezier curves and Bernstein polynomials;Ahmadi;Applied Mathematical Modelling,2011

2. Identification of Hammerstein output-error systems with two-segment nonlinearities: algorithm and applications;Yu;Journal of Control and Intelligent Systems,2010

3. Kalman filter based identification for systems with randomly missing measurements in a network environment;Shi;International Journal of Control,2010

4. Genetic adaptive state estimation with missing input/output data, Proceedings of the Institution of Mechanical Engineers, Part I;Fang;Journal of Systems and Control Engineering,2010

5. Blind maximum likelihood identification of Hammerstein systems;Vanbeylen;Automatica,2008

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