Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems

被引：0
|
作者：
Wan, ZY [1 ]
Kothare, MV [1 ]
机构：
[1] Lehigh Univ, Dept Chem Engn, Bethlehem, PA 18015 USA
来源：
PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2003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：
In this paper, we present a computationally efficient scheduled output feedback Model Predictive Control (MPC) algorithm for constrained nonlinear systems with large operating regions. We design a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which on-line switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. The algorithm is illustrated with a highly nonlinear CSTR process.
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页码：489 / 494
页数：6
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