Paper Info
Title
Study of Coupling Based on Genetic Neural Network Multivariable Nonlinear Complex System
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.
Year
DOI
Venue
2008
10.1109/CSSE.2008.612
Computer Systems: Science & Engineering
Keywords
Field
DocType
multivariable nonlinear system adaptive,various variable,metlab emulator,multivariable coupling problem,genetic neural network,genetic neural network multivariable,complex system,multivariable parameter,control model,control algorithm,adaptive systems,stability,encoding,genetics,multivariable,decoupling,artificial neural networks,couplings,nonlinear systems,optimization,nonlinear,genetic algorithms,adaptive control
Nonlinear system,Multivariable calculus,Control theory,Adaptive system,Computer science,Decoupling (cosmology),Adaptive control,Artificial neural network,Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Ruikun Gong122.14
Jingyuan Li2208.86
Lei Chen322.14