Scalable distributed model predictive control for constrained systems

被引：14
|
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
收藏
页码：407 / 414
页数：8
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