Study of Coupling Based on Genetic Neural Network Multivariable Nonlinear Complex System

Author

Gong, Ruikun ; Li, Jingyuan ; Chen, Lei

Author_Institution

Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

53

Lastpage

55

Abstract

In this paper a method of decoupling has been put forward. Combine genetic neural network with multivariable nonlinear system adaptive decoupling control algorithm. Establish a control model of multivariable parameter in order to cancel the couplings of various variables. This method improves the stability and precision. According to the METLAB emulator proving, genetic neural network multivariable nonlinear decoupling model can cancel multivariable coupling problem preferably, make the system optimized.

Keywords

adaptive control; genetic algorithms; multivariable control systems; neurocontrollers; nonlinear control systems; stability; METLAB; adaptive decoupling control; genetic neural network; multivariable nonlinear complex system; multivariable nonlinear decoupling model; Adaptive control; Adaptive systems; Control systems; Couplings; Genetics; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Stability; decoupling; genetic neural network; multivariable; nonlinear;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.612

Filename

4721689