Quasi-Min-Max Model Predictive Control for Discrete-Time Singular Systems with Input-to-State Stability

摘要：

　　The paper concerns robust quasi-min-max model predictive control for a class of discrete-time singular systems with input constrains and persistent disturbance.To deal with the persistent disturbance,we introduce the notion of input-to-state stability of discrete-time singular system for the first time.The optimal control can be obtained by solving a quasi-min-max optimal problem of a finite horizon cost function.On the basis of the proposed dual-mode MPC approach,it can be proved that the closed-loop discrete-time singular system is input-to-state stability.Finally,a numerical simulation shows the feasibility and the effectiveness of the proposed method.

关键词： Model predictive control(MPC) Discrete-time singular systems Input-to-state stability(ISS) Persistent disturbance Dual-mode approach

作者: Chan Gao Xiao-Hua Liu

作者单位: School of Mathematics and Statistics Science,Yantai Shangdong,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 451-461

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）