Reduced order model predictive control - an approach based on system decomposition

被引：0
|
作者：
Hara, Naoyuki [1 ]
Kojima, Akira [1 ]
机构：
[1] Tokyo Metropolitan Univ, Tokyo 1910065, Japan
来源：
PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8 | 2007年
关键词：
model predictive control; constraint; model reduction; eigenvalue problem;
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：
This paper considers a reduced order model predictive control (MPC) method for constrained discrete-time linear systems. By employing a system decomposition technique for discrete-time linear systems, a reduced order MPC law is derived. The MPC law is improved in terms of control performance and feasibility of the associated optimization problem.
引用
收藏
页码：2221 / 2224
页数：4
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