Title :
Generalized Minimum Variance Control in Sampled-Data Control Systems
Author_Institution :
Grad. Sch. of Eng., Univ. of Hyogo, Himeji
Abstract :
The generalized minimum variance control (GMVC) method is extended into a sampled-data control system, where a continuous-time plant is controlled by using a discrete-time controller. In design of conventional GMVC, sampled behavior is optimized, but intersample behavior is not taken into account. However, intersample behavior as well as sampled behavior can be improved by using the proposed method. Simulation results are shown to illustrate its effectiveness.
Keywords :
continuous time systems; control system synthesis; discrete time systems; predictive control; sampled data systems; continuous-time plant control; discrete-time controller; generalized minimum variance control design; generalized predictive control; sampled-data control system; Control system synthesis; Control systems; Design methodology; Design optimization; Predictive control; Sampling methods;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.294
