Distributed model predictive control for linear systems under communication noise: Algorithm, theory and implementation

We study the distributed model predictive control (DMPC) problem for a network of linear discrete-time subsystems in the presence of stochastic noise among communication channels, where the system dynamics are decoupled and the system constraints are coupled. The DMPC is cast as a stochastic distrib...

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Vydáno v:	Automatica (Oxford) Ročník 125; s. 109422
Hlavní autoři:	Li, Huiping, Jin, Bo, Yan, Weisheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2021
Témata:	Communication noise Distributed model predictive control (DMPC) Global constraints Stochastic alternating direction multiplier method (ADMM) Stochastic alternating direction multiplier method (ADMM) Communication noise Global constraints Distributed model predictive control (DMPC)
ISSN:	0005-1098, 1873-2836
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