Min-Max Economic Model Predictive Control

被引：0

作者：

Marquez, Alejandro ^{[1
]}

Patino, Julian ^{[1
]}

Espinosa, Jairo ^{[1
]}

机构：

[1] Univ Nacl Colombia, Fac Minas, Cra 80 65-223, Gaunal, Colombia

来源：

2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2014年

关键词：

POWER MANAGEMENT; MPC;

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 proposes a min-max Economic Model Predictive Control approach for discrete time uncertain systems: a MPC min-max strategy where the worst-case performance with respect to uncertainties is optimized. Unfortunately, many min-max MPC formulations yield intractable optimization problems with exponential complexity, for this reason a min-max algorithm for a certain type of model uncertainty is derived in this paper. The transformation of the original problem into a second-order cone program is the most remarkable feature meaning that the min-max problem is written as a convex program. The result is an optimization problem with polynomial complexity.

引用

页码：4410 / 4415

页数：6

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