DocumentCode
1610034
Title
Robust Model Predictive Control for Sampled-data Systems
Author
Katayama, Hitoshi ; Ichikawa, Akira
Author_Institution
Dept. of Electr. & Electron. Eng., Shizuoka Univ., Hamamatsu
fYear
2006
Firstpage
5120
Lastpage
5125
Abstract
In this paper model predictive control (MPC) problems for time-varying sampled-data systems with polytopic uncertainty are considered. Since sampled-data systems can be rewritten as equivalent jump systems, solutions of MPC problems for time-varying sampled-data systems are given as solutions of the optimization problems for equivalent jump systems. The design method of state feedback laws based on LMIs is given
Keywords
control system synthesis; feedback; linear matrix inequalities; predictive control; robust control; sampled data systems; time-varying systems; equivalent jump systems; linear matrix inequalities; optimization problems; polytopic uncertainty; robust model predictive control; state feedback laws; time-varying sampled-data systems; Control systems; Design methodology; Electronic mail; Predictive control; Predictive models; Robust control; Sampling methods; State feedback; Time varying systems; Uncertainty; model predictive control; sampled-data systems;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE-ICASE, 2006. International Joint Conference
Conference_Location
Busan
Print_ISBN
89-950038-4-7
Electronic_ISBN
89-950038-5-5
Type
conf
DOI
10.1109/SICE.2006.315232
Filename
4108685
Link To Document