A general reformulation of output feedback MPC for constrained LPV systems

摘要：

An improved synthesis approach of the dynamic output feedback model predictive control, which has a near-optimal solution, for the polytopic uncertainty system with bounded disturbance, is given. This paper takes advantage of the method in (Automatica (2008) pp. 258–264) to re-handle the physical constraints. Hence, there are more scalar slack variables for optimization, so that the control performance can be improved. This represents a general formulation which includes a previous work as a special case. A numerical example is given to show the effectiveness of the controller.

关键词： Output feedback Model predictive control Synthesis approach Degree of freedom

作者: DING Baocang PING Xubin XI Yugeng

作者单位: Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Depart Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Depart Department of Automation, Shanghai Jiaotong University, Shanghai, 200240, P.R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 4195-4200

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）