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IEEE Control Systems Magazine
Article . 2017 . Peer-reviewed
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Coalitional Control: Cooperative Game Theory and Control

Coalitional control: cooperative game theory and control
Authors: Filiberto Fele; Jose Maria Maestre 0001; Eduardo F. Camacho;

Coalitional Control: Cooperative Game Theory and Control

Abstract

The evolution of information and communication technologies has yielded the means of sharing measurements and other information in an efficient and flexible way, which has enabled the size and complexity of control applications to increase. At the same time, the improvements in the computational and communicational capabilities of control devices have fostered the development of noncentralized control architectures, already motivated by the inherent structural constraints of large-scale systems. Computer-based control approaches such as model predictive control (MPC) are visible beneficiaries of these advances and have registered a significant growth regarding both theoretical and applied fields. Coalitional control focuses on the local interests that motivate the controllers to assemble, an aspect so far rarely contemplated in the distributed control literature. This article presents the main concepts and challenges in coalitional control, and the links with cooperative network game theory.

Single column version, 35 pages

Keywords

Dynamic games, FOS: Computer and information sciences, Control systems, Computational modeling, Systems and Control (eess.SY), Decentralized systems, Electrical Engineering and Systems Science - Systems and Control, Cooperative games, Large-scale systems, Computer Science - Computer Science and Game Theory, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 93B45, 91A80 (Primary) 91A12, 93A14, 93A15 (Secondary), Computer applications, Mathematics - Optimization and Control, Game theory, Information and communication technology, Computer Science and Game Theory (cs.GT)

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    76
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 10%
Top 10%
Top 1%
Green