Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
http://link.springer.com/article/10.1007/s00034-018-0800-1/fulltext.html
Reference50 articles.
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3. F.Y. Chen, F. Ding, A. Alsaedi, T. Hayat, Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle. Math. Comput. Simul. 132, 53–67 (2017)
4. F.Y. Chen, F. Ding, J.H. Li, Maximum likelihood gradient-based iterative estimation algorithm for a class of input nonlinear controlled autoregressive ARMA systems. Nonlinear Dyn. 79(2), 927–936 (2015)
5. M.T. Chen, F. Ding, L. Xu, T. Hayat, A. Alsaedi, Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise. J. Frankl. Inst. 354(17), 7885–7898 (2017)
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