Maximum Likelihood Iterative Algorithm for Hammerstein Systems with Hard Nonlinearities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-019-0799-5.pdf
Reference37 articles.
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3. X. Zhang, F. Ding, and E. F. Yang, “State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors,” International Journal of Adaptive Control and Signal Processing, vol. 33, no. 7, pp. 1157–1173, July 2019.
4. X. Zhang and F. Ding, “Hierarchical parameter and state estimation for bilinear systems,” International Journal of Systems Science, vol. 51, no. 2, 275–290, 2020.
5. E. W. Bai and K. Li, “Convergence of the iterative algorithm for a general Hammerstein system identification,” Automatica,, vol. 46, no. 11, pp. 1891–1896, November 2010.
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