Title :
Robust Model Predictive Control for Sampled-data Systems
Author :
Katayama, Hitoshi ; Ichikawa, Akira
Author_Institution :
Dept. of Electr. & Electron. Eng., Shizuoka Univ., Hamamatsu
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;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315232
