DocumentCode
2660484
Title
Observer-based robust predictive control of singular systems with polytopic uncertainties
Author
Yuanhua, Yang ; Xiaohua, Liu
Author_Institution
Sch. of Math. & Inf., Ludong Univ., Yantai
fYear
2008
fDate
16-18 July 2008
Firstpage
50
Lastpage
53
Abstract
An observer-based robust predictive control algorithm for singular systems with convex polytopic uncertainties is presented by linear matrix inequality formulation. By constructing the Lyapunov function with the error term, the infinite time domain dasiamin-maxpsila optimization problems are converted into linear programming problems, the sufficient conditions for the existence of observer-based robust predictive control are obtained by linear matrix inequalities. It is proved that the robust stability of the closed-loop singular systems is guaranteed by the initial feasible solutions of the optimization problems, and the regular and the impulse-free of singular systems are also hold. A simulation example illustrates the efficiency of this method.
Keywords
Lyapunov methods; closed loop systems; convex programming; linear matrix inequalities; linear programming; minimax techniques; observers; predictive control; robust control; uncertain systems; Lyapunov function; closed-loop system; convex polytopic uncertainties; infinite time domain; linear matrix inequality; linear programming; min-max optimization; observer; robust predictive control; robust stability; singular system; Error correction; Linear matrix inequalities; Linear programming; Lyapunov method; Prediction algorithms; Predictive control; Robust control; Robust stability; Sufficient conditions; Uncertainty; Linear matrix inequality (LMI); Polytopic uncertainties; Robust predictive control; Singular systems; State observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605175
Filename
4605175
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