Title
Model reference tracking control for nonlinear systems described by Takagi-Sugeno structure
Abstract
This work concerns the model reference tracking control problem for nonlinear systems represented by Takagi-Sugeno (T-S) models, with a guaranteed L2 performance to attenuate the tracking error for bounded reference inputs. The objective is to make the system state follow as closely as possible the model reference state. The control scheme is based on a parallel distributed compensation controller fed by a state observer for Takagi-Sugeno systems with unmeasurable premise variables. The observer/controller synthesis is formulated in terms of linear matrix inequalities. Systems with noise output measurements are also envisaged with the use of filter. Simulation example are given to illustrate the design procedures and tracking performance of the proposed approach.
Year
DOI
Venue
2013
10.1109/FUZZ-IEEE.2013.6622398
Fuzzy Systems
Keywords
Field
DocType
control system synthesis,linear matrix inequalities,nonlinear control systems,observers,L2 performance,Takagi-Sugeno structure,bounded reference inputs,controller synthesis,linear matrix inequalities,model reference tracking control problem,noise output measurements,nonlinear systems,parallel distributed compensation controller,state observer,unmeasurable premise variables,Takagi-Sugeno systems,observer-based control,reference tracking
State observer,Control theory,Nonlinear system,Computer science,Control theory,Matrix (mathematics),Premise,Observer (quantum physics),Bounded function,Tracking error
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4799-0020-6
2
PageRank 
References 
Authors
0.38
7
4
Name
Order
Citations
PageRank
Souad Bezzaoucha183.74
Benoît Marx221.06
Didier Maquin318120.98
José Ragot441.49