Observer-based Robust Constrained Model Predictive Control

摘要：

This paper addresses the problem of observer-based robust constrained model predictive control with polytopic uncertain systems and norm-bound uncertain systems. It constructs the cost function directly by using the augmented system composed by states and estimation errors, and the observer gain need not be given in advance. In addition, this paper considers the constraints of system states and input in the designing of controller and observer, which relaxes the existing results to a certain extent. The performance of the proposed design method is demonstrated by an example.

关键词： Robust model predictive control(MPC) Output feedback Constraint Estimation errors

作者: Xiao-Heng Chang Li Jin

作者单位: School of Information Science and Engineering, Bohai University, Liaoning Jinzhou 121003, China ZhejiangWanxiang System Co., LTD, Hangzhou, Zhejiang, 311200, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1821-1825

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）