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...

Full description

Saved in:
Bibliographic Details
Published inComputers & 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
LanguageEnglish
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
Online AccessGet full text

Cover

More Information
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