Abstract
We introduce a novel coalitional control scheme based on the PageRank, which is a measure of the relevance of the nodes in a graph. In particular, local controllers are allowed to create aid request/offer links to each other. The PageRank of the aid network is then used as a means to group the agents dynamically in clusters in real time. Model predictive control is used inside each cluster to calculate the control actions taking into account the objectives of the corresponding controllers. The proposed algorithm can be implemented in a fully distributed fashion. Via a simulation example, we demonstrate that the proposed algorithm can outperform other coalitional control schemes.
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Recommended by Associate Editor Kang-Hyun Jo under the direction of Editor PooGyeon Park. Financial support by the FP7- ICT project DYMASOS (ref. 611281) and by the Spanish Ministry of Economy and Competitiveness (project COOPERA under grant DPI2013-46912-C2-1-R) is acknowledged. In addition, the authors would like to express their gratitude to the grant José Castillejo (ref. CAS14/00277) from the Spanish Ministry of Education and the JSPS under Grant-in-Aid for Scientific Research Grant No. 15H04020 and the fellowship PE16048.
José María Maestre received the Ph.D. degree on automation and robotics by the University of Seville in 2010, where he also works as associate professor. His main research interests are the control of distributed systems and service robots. He has authored and coauthored more than one hundred publications regarding these topics, and he is one of the editors of the books “Service Robotics within the Digital Home: Applications and Future Prospects” and “Distributed Model Predictive Control Made Easy” published by Springer.
Hideaki Ishii received the B.Eng. degree in engineering systems from the University of Tsukuba, Tsukuba, Japan, in 1996, the M.Eng. degree in applied systems science from Kyoto University, Kyoto, Japan, in 1998, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2002. Currently, he is an Associate Professor in the Department of Computer Science, Tokyo Institute of Technology, Yokohama, Japan. His research interests are in the general area of control theory with specific emphasis on large-scale networked control systems.
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Maestre, J.M., Ishii, H. A PageRank based coalitional control scheme. Int. J. Control Autom. Syst. 15, 1983–1990 (2017). https://doi.org/10.1007/s12555-016-0336-8
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DOI: https://doi.org/10.1007/s12555-016-0336-8