On design of aggregation based robust model predictive controller for system with bounded disturbances

被引：0

作者：

Li Dewei ^{[1
]}

Xi Yugeng ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Automat, Shanghai 200240, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3 | 2007年

关键词：

model predictive control; aggregation; bounded disturbances; robust stability;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the constrained linear system with bounded disturbances, a robust model predictive controller ABRPC is present in this paper. Referring to the efficient robust predictive control (ERPC) and adopting the invariant set of the bounded disturbances to deal with the disturbances, the ABRPC deals with the bounded disturbances reasonably, reduces the on-line computational cost and guarantees its control quality. The feasibility and robustly stability of ABRPC is proved in this paper. Finally, a simulation example is present to verify its validity.

引用

页码：655 / +

页数：2

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