Abstract:
In this paper, we consider the continuous-time Nash equilibrium seeking problem with time-varying payoff functions. To solve the problem, we first propose an extended ver...Show MoreMetadata
Abstract:
In this paper, we consider the continuous-time Nash equilibrium seeking problem with time-varying payoff functions. To solve the problem, we first propose an extended version of distributed gradient play algorithms using exact real-time gradients. Then, we discuss its performance from the perspective of online computation, and show that the proposed algorithm can lead to some small dynamic regret providing that the real-time Nash equilibrium does not change too fast. We finally provide a numerical example to illustrate our design.
Published in: 2024 14th Asian Control Conference (ASCC)
Date of Conference: 05-08 July 2024
Date Added to IEEE Xplore: 19 September 2024
ISBN Information:
ISSN Information:
Conference Location: Dalian, China
Funding Agency:
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
Contents School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
