DocumentCode
2634912
Title
Generalized Minimum Variance Control in Sampled-Data Control Systems
Author
Sato, Takao
Author_Institution
Grad. Sch. of Eng., Univ. of Hyogo, Himeji
fYear
2008
fDate
18-20 June 2008
Firstpage
198
Lastpage
198
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICICIC.2008.294
Filename
4603387
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