A Primal-Dual Active-Set Method for Distributed Model Predictive Control

被引：0

作者：

Koehler, Sarah ^{[1
]}

Danielson, Claus ^{[2
]}

Borrelli, Francesco ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA

[2] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

2015 AMERICAN CONTROL CONFERENCE (ACC) | 2015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：

A primal-dual active-set method is used for solving Model Predictive Control for large-scale systems with linear dynamics, additive disturbance and box constraints. We present a novel decentralized implementation of the primal-dual active-set method. The proposed algorithm is compared to dual decomposition methods. Theoretical and experimental results show the effectiveness of the proposed approach for large scale systems with high communication delays. The application to buildings control systems is thoroughly investigated.

引用

页码：4759 / 4764

页数：6

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