Title
Multiple models fuzzy decoupling controller for a nonlinear system
Abstract
For a discrete-time nonlinear MIMO system, a multiple models fuzzy decoupling controller is designed. At each equilibrium point, the system is expanded into linear and nonlinear terms. The linear term is identified using one FLSs, while nonlinear term using other FLSs, which compose one system model. Then, all models got at all equilibrium points compose the multiple models set. At each instant, the best model is chosen out according to the switching index. Accordingly, the nonlinear term of the best model is viewed as measurable disturbance and eliminated using the feedforward strategy.
Year
DOI
Venue
2006
10.1007/11881599_106
FSKD
Keywords
Field
DocType
nonlinear system,equilibrium point,discrete time,system modeling,indexation
Control theory,Nonlinear system,Computer science,Control theory,Nonlinear control,Decoupling (cosmology),Fuzzy logic,Equilibrium point,Fuzzy control system,Feed forward
Conference
Volume
Issue
ISSN
4223 LNAI
null
0302-9743
ISBN
Citations 
PageRank 
3-540-45916-2
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Xin Wang153.76
Hui Yang2188.01
Bing Wang300.34