Work

Distributed algorithms for aggregative games with multiple uncertain Euler–Lagrange systems over switching networks

Year: 2024

Type: article

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.

Source: Journal of Automation and Intelligence

DOI: 10.1016/j.jai.2024.12.006

Authors: Zhaocong Liu, Jie Huang

Institution: Chinese University of Hong Kong

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Research Grants Council, University Grants Committee, Hong Kong Government

Award: G4901647664