A Predefined-Time Consensus Algorithm of Multi-Agent System for Distributed Constrained Optimization

This article proposes a multi-agent system with predefined-time consensus to solve distributed optimization problem subject to inconsistent constraint sets. Under some derived conditions, the predefined-time consensus of multi-agent system is guaranteed. Meanwhile, the states of agents are convergen...

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Veröffentlicht in:IEEE transactions on network science and engineering Jg. 11; H. 1; S. 957 - 968
Hauptverfasser: Li, Kaixuan, Hu, Qilong, Liu, Qingshan, Zeng, Zhigang, Cheng, Fan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
communication network
Constraints
Convergence
distributed constrained optimization
fixed-time consensus
Linear programming
multi-agent system
Multi-agent systems
Multiagent systems
Optimal solution
Optimization
Privacy
Resource management
Sensors
ISSN:2327-4697, 2334-329X
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Zusammenfassung:This article proposes a multi-agent system with predefined-time consensus to solve distributed optimization problem subject to inconsistent constraint sets. Under some derived conditions, the predefined-time consensus of multi-agent system is guaranteed. Meanwhile, the states of agents are convergent with consensus to an optimal solution of the distributed constrained optimization. Compared to the system with finite time consensus, the proposed system has a fixed time consensus that can be estimated in advance. The suggested system for distributed constrained optimization not requires objective functions have a specific form and smooth. It suitable for the problem with bounded sub-differential of objective function and unbound gradient of objective function. Simulation results validate the theoretical analysis.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2327-4697
2334-329X
DOI:10.1109/TNSE.2023.3311047