Paper Info
Title
Distributed Model Predictive Control: An overview of features and research opportunities
Abstract
This is a position paper on the current state of the art in distributed Model Predictive Control (MPC) and our view on its future potential. We present results from a recent survey of 35 distributed MPC approaches. For this, we propose a way in which distributed MPC approaches can be categorized for comparison. We also link the potential that these approaches have to the domain of other fields such as integrated environmental optimal decision making and cyber-physical systems. Many challenges for realizing these links have to be faced. We present our views on how the advances in several highly active research domains could be used to overcome these challenges. As such, this paper is intended as a starting point for the exploration of various novel research cooperations.
Year
DOI
Venue
2014
10.1109/ICNSC.2014.6819682
Networking, Sensing and Control
Keywords
Field
DocType
distributed control,predictive control,research and development,cyber-physical systems,distributed MPC approach,distributed model predictive control,integrated environmental optimal decision making,research cooperations,research domains,research opportunities,Distributed model predictive control,algorithm categorization,emerging research areas
Optimal decision,Computer science,Position paper,Control engineering,Distributed model predictive control
Conference
ISSN
Citations 
PageRank 
1810-7869
1
0.36
References 
Authors
7
2
Name
Order
Citations
PageRank
Negenborn, R.R.16110.51
Jose Maria Maestre23214.98