A Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor for Hammerstein CAR Systems with Backlash-Reference-Cited by-同舟云学术

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A Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor for Hammerstein CAR Systems with Backlash

Published:2016-02-16 Issue:12 Volume:35 Page:4271-4289
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Shi Zhenwei,Wang Yan,Ji Zhicheng

Funder

the National High Technology Research and Development Program of China

the National Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s00034-016-0271-1.pdf

Reference56 articles.

1. A. Barreiro, A. Banos, Input-output stability of systems with backlash. Automatica 42(6), 1017–1024 (2006)

2. S. Bittanti, P. Boizern, M. Campi, Convergence and exponential convergence of identification algorithms with directional forgetting factor. Automatica 26(5), 929–932 (1990)

3. V. Cerone, D. Regruto, Bounding the parameters of linear systems with input backlash. IEEE Trans. Autom. Control 52(3), 531–536 (2007)

4. J. Chen, X. Wang, R. Ding, Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities. Appl. Math. Model. 36(1), 238–243 (2012)

5. F. Ding, P.X. Liu, G.J. Liu, Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Process. 89(10), 1883–1890 (2009)

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