Scalable distributed model predictive control for constrained systems

被引：16

作者：

Asadi, Elham ^{[1
]}

Richards, Arthur ^{[2
]}

机构：

[1] Univ Cambridge, Dept Engn, Trumpington St, Cambridge, England

[2] Univ Bristol, Dept Aerosp Engn, Queens Bldg, Bristol, Avon, England

来源：

AUTOMATICA | 2018年 / 93卷

关键词：

Distributed model predictive control; Constrained systems; Scalable DMPC; RECEDING HORIZON CONTROL; DYNAMICALLY DECOUPLED SYSTEMS; LINEAR-SYSTEMS; INVARIANT-SETS; PLUG; STABILITY; MPC;

D O I：

10.1016/j.automatica.2018.03.050

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 distributed model predictive control strategy is proposed for subsystems sharing a limited resource. Self-organized Time Division Multiple Access is used to coordinate subsystem controllers in a sequence such that no two re-optimize simultaneously. This new approach requires no central coordination or pre-organized optimizing sequence. The scheme guarantees satisfaction of coupled constraints despite dynamic entry and exit of subsystems. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：407 / 414

页数：8

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