Decentralised model predictive control with stability constraints and its application in process control

被引：15

作者：

Tuan, H. D. ^{[1
]}

Savkin, A. ^{[2
]}

Nguyen, T. N. ^{[1
]}

Nguyen, H. T. ^{[1
]}

机构：

[1] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia

[2] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia

来源：

JOURNAL OF PROCESS CONTROL | 2015年 / 26卷

关键词：

Asymptotically positive realness constraint; Model-based control; Decentralised MPC; Stability constraint;

D O I：

10.1016/j.jprocont.2015.01.002

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 presents a novel decentralised model predictive control for a plant consisting of interconnected systems. A constructive technique for online stabilisation that is applicable to the model predictive controllers (MPC) is developed. The plant-wise stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficiency of the presented APRC. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：73 / 89

页数：17

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