Input-to-state Stabilizing MPC for Constrained Nonlinear System with Persistent Disturbance

摘要：

To guarantee both the robustness performance and the stability for a nonlinear system with persistent disturbance, a min-max nonlinear MPC scheme is designed in this paper. The terminal region and the terminal stable control law are computed off-line by transferring stable condition and the state/input constraints into a set of linear matrix inequalities and solving them. Furthermore, it is proved that the closedloop system is input-to-state stable with relation to persistent disturbance. An example illustrates the good performance of the developed method.

关键词： Nonlinear system Input-to-state stability Model predictive control Disturbance

作者: Donglin Shi Zhizhong Mao

作者单位: School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China, 1 School of Information Science and Engineering; Key Laboratory of Integrated Automation of Process In

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1126-1129

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）