Robust model predictive control of constrained linear systems

被引：0
|
作者：
Smith, RS [1 ]
机构：
[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA
来源：
PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2004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：
Linear matrix inequality (LMI) based optimization methods are applied to the problem of designing a model predictive controller for an uncertain constrained linear system. The control signal is specified in terms of both feedback and feedforward components, where the feedback is designed to maintain the state within a prescribed ellipse in the presence of unknown bounded disturbances and system perturbations. The feedforward component drives these ellipses to a desired reference state. The LMI characterization allows exact specification of ellipsoidal and hyperplane constraints on the inputs, states and outputs.
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页码：245 / 250
页数：6
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