Dynamic programming and model predictive control

被引：0
|
作者：
Meadows, ES
机构：
来源：
PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1997年
关键词：
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 presents a new criterion for assessing the stability of nonlinear model predictive control (MPC). The criterion is based on the monotonicity of the MPC cost function as a function of horizon length, and is derived using dynamic programming theory in a deterministic setting.
引用
收藏
页码：1635 / 1639
页数：5
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