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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358330
