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학술논문International Journal of Control, Automation, and Systems2020.05 발행KCI 피인용 2

Distributed Nash Equilibrium Seeking for Aggregative Games via Derivative Feedback

Distributed Nash Equilibrium Seeking for Aggregative Games via Derivative Feedback

Yawei Zhang(University of Science and Technology of China); Shu Liang(University of Science and Technology Beijing); Haibo Ji(University of Science and Technology of China)

18권 5호, 1075~1082쪽

초록

In this paper, we investigate a continuous-time distributed Nash equilibrium seeking algorithm for a class of aggregative games, with application to the real-time pricing demand response. To seek the Nash equilibrium via local communication among neighbors, by combining projected gradient dynamics and consensus tracking dynamics, we propose a novel distributed algorithm for the players. We prove the convergence of the distributed algorithm via a constructed Lyapunov function and the variational inequality technique, and show an illustrative simulation related to the energy consumption control in smart grids.

Abstract

In this paper, we investigate a continuous-time distributed Nash equilibrium seeking algorithm for a class of aggregative games, with application to the real-time pricing demand response. To seek the Nash equilibrium via local communication among neighbors, by combining projected gradient dynamics and consensus tracking dynamics, we propose a novel distributed algorithm for the players. We prove the convergence of the distributed algorithm via a constructed Lyapunov function and the variational inequality technique, and show an illustrative simulation related to the energy consumption control in smart grids.

발행기관:
제어·로봇·시스템학회
DOI:
http://dx.doi.org/10.1007/s12555-019-0011-y
분류:
제어계측공학

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Distributed Nash Equilibrium Seeking for Aggregative Games via Derivative Feedback | International Journal of Control, Automation, and Systems 2020 | AskLaw | 애스크로 AI