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

作　　者：Zhaocong Liu Jie Huang 

机构地区：[1]Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong,Hong Kong,999077,China

出　　处：《Journal of Automation and Intelligence》2025年第1期2-9,共8页自动化与人工智能(英文)

基　　金：supported by the Research Grants Council of the Hong Kong Special Administration Region under the Grant No.14201621。

摘　　要：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.

关 键 词：Aggregative games Euler-Lagrange systems Jointly connected networks Adaptive control 

分 类 号：O225[理学—运筹学与控制论] TP273[理学—数学]