Gradient Parameter Estimation of a Class of Nonlinear Systems Based on the Maximum Likelihood Principle
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/s12555-021-0249-z.pdf
Reference81 articles.
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3. Y. Fan and X. Liu, “Two-stage auxiliary model gradient-based iterative algorithm for the input nonlinear controlled autoregressive system with variable-gain nonlinearity,” International Journal of Robust and Nonlinear Control, vol. 30, no. 14, pp. 5492–5509, September 2020.
4. F. Ding, Y. Liu, and B. Bao, “Gradient based and least squares based iterative estimation algorithms for multi-input multi-output systems,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 226, no. 1, pp. 43–55, February 2012.
5. X. Liu and Y. Fan, “Maximum likelihood extended gradient-based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity,” International Journal of Robust and Nonlinear Control, vol. 31, 2021.
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