A state estimation based constrained model predictive control system  

作　　者：刘斌 Zou Tao 

机构地区：[1]Information Engineering Institute of Nanchang Hangkong University, Nanchang 330063, P.R. China [2]Information Engineering Institute of Zhejiang Industry University, Hangzhou 310032, P.R. China

出　　处：《High Technology Letters》2010年第4期373-377,共5页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60604017)

摘　　要：In this paper,the model predictive control based on the state estimation for a constrained system isinvestigated.By modifying the constraints for the predictive state,the control sequence becomes feasiblefor the real system,i.e.,the system state is guaranteed to be in the constraint domain.It s also provedthat the close-loop system is asymptotically stable and the system state converges to the origin.The conclusionis verified through simulation.In this paper, the model predictive control based on the state estimation for a constrained system is investigated. By modifying the constraints for the predictive state, the control sequence becomes feasible for the real system, i.e., the system state is guaranteed to be in the constraint domain. It＇s also proved that the close-loop system is asymptotically stable and the system state converges to the origin. The conclusion is verified through simulation.

关 键 词：ESTIMATION model predictive control （MPC） feasible STABILITY 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TU991.33[自动化与计算机技术—控制科学与工程]