DocumentCode
577799
Title
Predictive control design subject to multiple missing measurements
Author
Yuanyuan Zou ; Yugang Niu
Author_Institution
Key Lab. of Adv. Control & Optimization for Chem. Process, East China Univ. of Sci. & Technol., Shanghai, China
fYear
2012
fDate
6-8 July 2012
Firstpage
2701
Lastpage
2705
Abstract
This paper investigates the problem of predictive control for control systems with multiple missing measurements. An extended stochastic model is introduced to describe and compensate missing data. The state feedback control scheme is designed to minimize an upper bound on the expected value of an infinite horizon quadratic performance objective at each sampling instant. It is shown that the present scheme can guarantee the stochastic stability of the closed-loop system.
Keywords
closed loop systems; control system synthesis; predictive control; stability; stochastic systems; closed loop system; control systems; multiple missing measurements; predictive control design; stochastic model; stochastic stability; Closed loop systems; Loss measurement; Optimization; Predictive control; State feedback; Stochastic processes; missing data; predictive control; stochastic stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358330
Filename
6358330
Link To Document