A comparative study on output feedback MPC for constrained LPV systems

摘要：

For the synthesis approaches of output feedback model predictive control for a system with both polytopic uncertainty and bounded disturbance, previous works are different in selecting the feedback laws, choosing the performance cost, specifying the stability and invariance conditions, and handling the physical constraints. This paper gives a comparative study on two of our previous works (Automatica (2008) pp. 258–264; Proc. CCC (2011) pp. 3340–3345). It shows that both works can be mutually improved and extended. The new approaches preserve the merits (i.e., lower computational burden and recursive feasibility) of both previous works, while the control performance may be improved. A numerical example is given to show the effectiveness of the proposed approaches.

关键词： Output feedback Model predictive control Synthesis approach Robust control

作者: DING Baocang XI Yugeng PING Xubin

作者单位: 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: 4189-4194

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）