Extended stochastic gradient identification algorithms for Hammerstein–Wiener ARMAX systems

Author:

Wang Dongqing,Ding Feng

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modelling and Simulation

Reference18 articles.

1. D.Q. Wang, F. Ding, Gradient based estimation methods for a class of nonlinear systems with colored noises, in: Proceedings of 2008 IEEE International Conference on Automation and Logistics, ICAL 2008, September 1–3, 2008, Qingdao, China, pp. 736-739

2. Identification of Hammerstein nonlinear ARMAX systems;Ding;Automatica,2005

3. Auxiliary model based least-squares identification methods for Hammerstein output-error systems;Ding;Systems & Control Letters,2007

4. Gradient-based identification methods for Hammerstein nonlinear ARMAX models;Ding;Nonlinear Dynamics,2006

5. Adaptive digital control of Hammerstein nonlinear systems with limited output sampling;Ding;SIAM Journal on Control and Optimization,2007

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