On the piecewise linear nature of constrained min-max model predictive control with bounded uncertainties

被引：0

作者：

Ramirez, DR ^{[1
]}

Camacho, EF ^{[1
]}

机构：

[1] Univ Seville, Escuela Super Ingn, Dept Ingn Sistemas & Automat, Seville 41092, Spain

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：

As shown by the authors in a previous paper, Min-Max MPC with a quadratic criterion, bounded additive uncertainties and a linear prediction model, results in a piecewise linear controller, which can be formulated in explicit form. This paper shows that a Constrained Min-Max MPC with bounded additives uncertainties and a quadratic cost is also a piecewise linear control law. Proofs based on properties of the cost function and the optimization problem are given. The results are illustrated by a simulation example.

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页码：3620 / 3625

页数：6

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