Title :
Observer-based robust predictive control of singular systems with structured feedback uncertainty
Author :
Haiqiu, Ren ; Xiaohua, Liu
Author_Institution :
Math. & Inf. Dept., LuDong Univ., Yantai, China
Abstract :
This note is concerned with observer-based robust predictive control for the singular systems with structured feedback uncertainty, and the design method of observer-based robust predictive controller is proposed. With the method of linear matrix inequalities (LMIs), the infinite time domain “min-max” optimization problems are converted into convex optimization problems, then the sufficient conditions for the existence of this controller and its expression are derived. The robust stability of the closed-loop singular systems is guaranteed by the initial feasible solution of the optimization problems. The regular and the impulse-free of singular systems are also held.
Keywords :
closed loop systems; convex programming; feedback; linear matrix inequalities; minimax techniques; observers; predictive control; robust control; LMI; closed-loop singular systems; convex optimization problems; infinite time domain min-max optimization problems; linear matrix inequalities; observer-based robust predictive control; structured feedback uncertainty; Observers; Optimization; Periodic structures; Predictive control; Predictive models; Robustness; Uncertainty; Robust predictive control; linear matrix inequalities(LMIs); observer; singular systems; structured feedback;
Conference_Titel :
Control Conference (ASCC), 2011 8th Asian
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-487-9
Electronic_ISBN :
978-89-956056-4-6