@article{Liu2025, 
author = {Zhaocong Liu and Jie Huang},
title = {Distributed algorithms for aggregative games with multiple uncertain Euler–Lagrange systems over switching networks},
year = {2025},
journal = {Journal of Automation and Intelligence},
volume = {4},
number = {1},
pages = {2-9},
keywords = {Aggregative games, Euler–Lagrange systems, Jointly connected networks, Adaptive control},
url = {https://www.sciopen.com/article/10.1016/j.jai.2024.12.006},
doi = {10.1016/j.jai.2024.12.006},
abstract = {In this paper, we investigate the distributed Nash equilibrium (NE) seeking problem for aggregative games with multiple uncertain Euler–Lagrange (EL) systems over jointly connected and weight-balanced switching networks. The designed distributed controller consists of two parts: a dynamic average consensus part that asymptotically reproduces the unknown NE, and an adaptive reference-tracking module responsible for steering EL systems’ positions to track a desired trajectory. The generalized Barbalat’s Lemma is used to overcome the discontinuity of the closed-loop system caused by the switching networks. The proposed algorithm is illustrated by a sensor network deployment problem.}
}