The Filtering Based Maximum Likelihood Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems with Colored Noise-Reference-Cited by-同舟云学术

The Filtering Based Maximum Likelihood Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems with Colored Noise

Published:2022-12-20 Issue:1 Volume:21 Page:151-160
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Wang Longjin,An Shun,He Yan,Yuan Jianping^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12555-021-0923-1.pdf

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3. L. Xu, “Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window,” Circuits Systems and Signal Processing, vol. 41, no. 2, pp. 805–830, February 2022.

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5. Y. Ji, Z. Kang, and X. Liu, “The data filtering based multiple-stage Levenberg-Marquardt algorithm for Hammerstein nonlinear systems,” International Journal of Robust and Nonlinear Control, vol. 31, no. 15, pp. 7007–7025, October 2021.

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