Conjugate gradient based Cholesky CMA-ES estimation algorithms for Hammerstein systems

Author:

Mao Yawen1,Xu Chen2

Affiliation:

1. School of Science, Jiangnan University,Wuxi,P. R. China,214122

2. School of Internet of Things Engineering, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,P. R. China,214122

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangnan University

Publisher

IEEE

Reference27 articles.

1. Maximum likelihood identification of dual‐rate Hammerstein output‐error moving average system

2. Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory

3. The CMA evolution strategy: A tutorial;hansen;ArXiv Preprint,2016

4. A computational efficient co-variance matrix update and a (1 + 1)-CMA for evolution strategies;igel;Proceedings of the 8th annual conference on Genetic and Evolutionary Computation,2006

5. Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization

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