Fractional Volterra LMS algorithm with application to Hammerstein control autoregressive model identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-018-3362-z/fulltext.html
Reference82 articles.
1. Wang Y, Ding F (2016) Parameter estimation algorithms for Hammerstein–Wiener systems with autoregressive moving average noise. J Comput Nonlinear Dyn 11(3):031012
2. Banerjee A, Abu-Mahfouz I (2014) A comparative analysis of particle swarm optimization and differential evolution algorithms for parameter estimation in nonlinear dynamic systems. Chaos, Solitons Fractals 58:65–83
3. Strebel O (2013) A preprocessing method for parameter estimation in ordinary differential equations. Chaos, Solitons Fractals 57:93–104
4. Wang Y, Ding F (2016) Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering. Nonlinear Dyn 84(2):1045–1053
5. Wang D (2016) Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models. Appl Math Lett 57:13–19
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