Dynamic Decoupling of the MIMO System Based on the Elman Net

Author

Li, Xinli ; Bai, Yan ; Zhang, Keming

Author_Institution

Dept. of Autom., North China Electr. Power Univ., Beijing

Volume

1

fYear

2008

fDate

17-18 Oct. 2008

Firstpage

537

Lastpage

540

Abstract

Elman net is a kind of well-known recurrent neural networks. Because the original Elman net and modified Elman net can approach the dynamic system, it can be used to complete dynamic decoupling in the MIMO system. The online decoupling algorithm of nonlinear MIMO system based on the Elman net is proposed. As the target function of the Elman net, the generalized cross-correlation function is defined which can implement the online dynamic decoupling. The hybrid genetic algorithm is used to train the Elman net in order to compensate coupling effect. The effectiveness of the algorithm has been shown by numerical simulations combing nonlinear MIMO system.

Keywords

MIMO systems; genetic algorithms; recurrent neural nets; Elman net; MIMO system; dynamic decoupling; generalized cross-correlation function; genetic algorithm; recurrent neural networks; Automation; Computational intelligence; Control systems; MIMO; Mathematics; Neural networks; Neurons; Nonlinear dynamical systems; Physics; Recurrent neural networks; Dynamic online decoupling; Elman net; Hybrid genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2008. ISCID '08. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3311-7

Type

conf

DOI

10.1109/ISCID.2008.181

Filename

4725667