Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems

被引:255
作者
Farina, Marcello [1 ]
Scattolini, Riccardo [1 ]
机构
[1] Politecn Milan, Dipartimento Elettron & Informaz, I-20133 Milan, Italy
关键词
Distributed control; Model predictive control; Large-scale MPC; Non cooperative algorithms; Robust model predictive control; RECEDING HORIZON CONTROL; ARCHITECTURES; STABILITY;
D O I
10.1016/j.automatica.2012.03.020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
This paper presents a novel Distributed Predictive Control (DPC) algorithm for linear discrete-time systems. This method enjoys the following properties: (i) state and input constraints can be considered; (ii) under mild assumptions, convergence of the closed loop control system is proved; (iii) it is not necessary for each subsystem to know the dynamical models of the other subsystems; (iv) the transmission of information is limited, in that each subsystem only needs the reference trajectories of the state variables of its neighbors. A simulation example is reported to illustrate the main characteristics and performance of the algorithm. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1088 / 1096
页数:9
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