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

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...

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Vydáno v:	Systems & control letters Ročník 135; s. 104578
Hlavní autoři:	Ma, Aoyun, Liu, Kun, Zhang, Qirui, Xia, Yuanqing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2020
Témata:	Coupled states Distributed model predictive control Spatially interconnected systems State and input constraints Distributed model predictive control State and input constraints Spatially interconnected systems Coupled states
ISSN:	0167-6911, 1872-7956
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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.
ISSN:	0167-6911 1872-7956
DOI:	10.1016/j.sysconle.2019.104578