Consensus-Based Distributed Optimization Enhanced by Integral Feedback

Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multiagent networks to solve convex optimization problems with local linear constraints. Assuming agent interactions are modeled by an undirected graph, the algorithm is capable of achiev...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on automatic control 2023-03, Vol.68 (3), p.1894-1901
Hauptverfasser:	Wang, Xuan, Mou, Shaoshuai, Anderson, Brian D. O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational geometry Constraint modelling Convergence Convex functions Convexity Distributed optimization Feedback Heuristic algorithms integral feedback Linear programming Multi-agent systems multiagent networks Multiagent systems Optimization Robustness Robustness (mathematics)
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!