Distributed predefined-time algorithms for optimal solution seeking in multi-agent systems subject to input disturbances

This paper presents a novel incremental consensus-based algorithm for solving a class of distributed optimization problems in multi-agent systems, considering input disturbances, equality constraints, and box constraints. Traditional methods rely on average consensus to maintain the satisfaction of...

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Veröffentlicht in:	Automatica (Oxford) Jg. 174; S. 112139
Hauptverfasser:	Xu, Jing-Zhe, Liu, Zhi-Wei, Ge, Ming-Feng, Yang, Tao, Chi, Ming, He, Dingxin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2025
Schlagworte:	Distributed optimization Disturbance rejection Multi-agent systems Predefined-time convergence Distributed optimization Disturbance rejection Predefined-time convergence Multi-agent systems
ISSN:	0005-1098
Online-Zugang:	Volltext
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