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On Probabilistic Constrained output feedback Stochastic Model Predictive Control
LI Ji-Wei, LI De-Wei, XI Yu-Geng
Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240
*Correspondence author
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Funding: Specialized Research Fund for theDoctoral Program of Higher Education （No.Grant No. 20120073110017）
Opened online: 6 May 2015
Accepted by: none
Citation: LI Ji-Wei, LI De-Wei, XI Yu-Geng.On Probabilistic Constrained output feedback Stochastic Model Predictive Control[OL]. [ 6 May 2015] http://en.paper.edu.cn/en_releasepaper/content/4640982
 
 
This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation erroris formulated. A series of polyhedrons is designed for uncertainty propagation of theaugmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadraticprogramming and is solved efficiently. A numerical example is given to illustrateperformance of the controller.
Keywords:Control theory and control engineering, predictive control, probabilistic constraints,quadratic programming
 
 
 

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