Safe Distributed Generalized Nash Equilibrium Seeking via Control Barrier Functions
Abstract
In this paper, we consider generalized Nash equilibrium (GNE) seeking in non-cooperative games with coupled constraint sets. Specifically, we aim to enforce safety for distributed GNE seeking, whereby the safety specifications are encoded in the coupled constraint set. To achieve this, we introduce the control barrier function (CBF) in the design of the GNE seeking dynamics. We design the dynamics for both full- and partial-information setting, where each player has knowledge of the decision information of all other players or only neighboring players, respectively. We justify the proposed dynamics by showing that the coupled constraint set is forward invariant, the equilibrium of the dynamics coincides with the exact GNE of the game, and the dynamics is asymptotically stable. Furthermore, we extend the approach to games where the agents are multi-integrators. Numerical simulations are provided to verify our results.
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BibTeX
@misc{meng2026safe,
title = {{Safe Distributed Generalized Nash Equilibrium Seeking via Control Barrier Functions}},
author = {Yihan Meng and Weijian Li and Lacra Pavel},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2608.24077},
eprint = {2608.24077},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.24077},
}
RIS
TY - UNPB
TI - Safe Distributed Generalized Nash Equilibrium Seeking via Control Barrier Functions
AU - Yihan Meng
AU - Weijian Li
AU - Lacra Pavel
PY - 2026
DA - 2026/09/23
PB - arXiv
DO - 10.48550/arxiv.2608.24077
UR - https://arxiv.org/abs/2608.24077
AB - In this paper, we consider generalized Nash equilibrium (GNE) seeking in non-cooperative games with coupled constraint sets. Specifically, we aim to enforce safety for distributed GNE seeking, whereby the safety specifications are encoded in the coupled constraint set. To achieve this, we introduce the control barrier function (CBF) in the design of the GNE seeking dynamics. We design the dynamics for both full- and partial-information setting, where each player has knowledge of the decision information of all other players or only neighboring players, respectively. We justify the proposed dynamics by showing that the coupled constraint set is forward invariant, the equilibrium of the dynamics coincides with the exact GNE of the game, and the dynamics is asymptotically stable. Furthermore, we extend the approach to games where the agents are multi-integrators. Numerical simulations are provided to verify our results.
ER -