Distributed non-cooperative robust MPC based on reduced-order models

被引：1

作者：

Long Y. ^{[1
]}

Liu S. ^{[1
]}

Xie L. ^{[1
]}

Johansson K.H. ^{[2
]}

机构：

[1] School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

[2] ACCESS Linnaeus Center, School of Electrical Engineering, Royal Institute of Technology, Stockholm

来源：

Control Theory and Technology | 2016年 / 14卷 / 01期

基金：

新加坡国家研究基金会; 中国国家自然科学基金;

关键词：

building energy efficiency; distributed control; Model predictive control;

D O I：

10.1007/s11768-016-5125-7

中图分类号：

学科分类号：

摘要：

In this paper, a non-cooperative distributed MPC algorithm based on reduced order model is proposed to stabilize large-scale systems. The large-scale system consists of a group of interconnected subsystems. Each subsystem can be partitioned into two parts: measurable part, whose states can be directly measured by sensors, and the unmeasurable part. In the online computation phase, only the measurable dynamics of the corresponding subsystem and neighbour-to-neighbour communication are necessary for the local controller design. Satisfaction of the state constraints and the practical stability are guaranteed while the complexity of the optimization problem is reduced. Numerical examples are given to show the effectiveness of this algorithm. © 2016, South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

引用

页码：11 / 20

页数：9

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