@inproceedings{ef34a5889f0f4e64893aceddd2c1a24c,
title = "Neural network online decoupling for a class of nonlinear system",
abstract = "Aim at a class of nonlinear MIMO systems, the neural networks online decoupling algorithm is proposed. The elitist genetic algorithms and hybrid genetic algorithms are adopted respectively to train the neural networks in order to compensate coupling effect. Based on analysis of the convergence of the genetic algorithms, the feasibility of the online decoupling algorithm is discussed. The effectiveness of the algorithm has been shown by numerical simulations combing nonlinear MIMO system.",
keywords = "Convergence, Genetic algorithm, Neural network, Nonlinear system, Online decoupling",
author = "Xinli Li and Yan Bai and Lin Yang",
year = "2006",
doi = "10.1109/WCICA.2006.1712900",
language = "English",
isbn = "1424403324",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "2920--2924",
booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",
}