Work

Observer-based distributed optimization for linear multiagent systems with external disturbances

Year: 2026

Type: article

Abstract: This paper addresses the distributed optimization problem in linear multiagent systems (MASs) under external disturbances. Firstly, an observation system is designed by utilizing the output values of agents, which can eliminate external disturbances of system. Secondly, an event-triggered control algorithm is proposed through the gradient information of local cost functions, and its convergence is rigorously established using the Lyapunov stability and looped functional theory. This novel event-triggered protocol incorporates dwell time within the threshold function, effectively eliminating Zeno behavior. By leveraging the looped functional technique, more relaxed conditions are derived for solving the distributed optimization problem. Finally, the validity and feasibility of the proposed protocol are substantiated through numerical simulation.

Source: Nonlinear Analysis Modelling and Control

DOI: 10.15388/namc.2026.31.44762

Authors: Xuening Xu, Zhiyong Yu, Haijun Jiang

Institutions: Xinjiang University, Xinjiang Normal University

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Xinjiang University, Natural Science Foundation of Xinjiang

Awards: G6985414545, G7103062568