Distributed MPC for linear discrete-time systems with disturbances and coupled states

被引：15

作者：

Ma, Aoyun ^{[1
]}

Liu, Kun ^{[1
]}

Zhang, Qirui ^{[1
]}

Xia, Yuanqing ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

SYSTEMS & CONTROL LETTERS | 2020年 / 135卷

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Spatially interconnected systems; Coupled states; Distributed model predictive control; State and input constraints; MODEL-PREDICTIVE CONTROL; NONLINEAR-SYSTEMS; STABILITY;

D O I：

10.1016/j.sysconle.2019.104578

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 robust non-iterative distributed model predictive control algorithm for spatially interconnected systems. The system consists of multiple linear discrete-time subsystems, which are weakly coupled in their states. Each subsystem is subject to state and input constraints as well as disturbances. The predictive model of each subsystem updates its state, depending on its own state and the neighboring states. The disturbance and the model error are handled via robustness constraints. The recursive feasibility of the optimization problems and the stability of the closed-loop systems are established. Finally, the effectiveness and advantages of the proposed algorithm are verified via simulations. (C) 2019 Elsevier B.V. All rights reserved.

引用

页数：8

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