Distributed model predictive control: A tutorial review and future research directions

In this paper, we provide a tutorial review of recent results in the design of distributed model predictive control systems. Our goal is to not only conceptually review the results in this area but also to provide enough algorithmic details so that the advantages and disadvantages of the various app...

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Bibliographic Details
Published in:	Computers & chemical engineering Vol. 51; pp. 21 - 41
Main Authors:	Christofides, Panagiotis D., Scattolini, Riccardo, Muñoz de la Peña, David, Liu, Jinfeng
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Kidlington Elsevier Ltd 05.04.2013 Elsevier
Subjects:	Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Control theory. Systems Exact sciences and technology Optimal control Software Distributed control Model predictive control Educational software program
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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Summary:	In this paper, we provide a tutorial review of recent results in the design of distributed model predictive control systems. Our goal is to not only conceptually review the results in this area but also to provide enough algorithmic details so that the advantages and disadvantages of the various approaches can become quite clear. In this sense, our hope is that this paper would complement a series of recent review papers and catalyze future research in this rapidly evolving area. We conclude discussing our viewpoint on future research directions in this area.
ISSN:	0098-1354 1873-4375
DOI:	10.1016/j.compchemeng.2012.05.011