Distributed optimization for uncertain Euler–Lagrange Systems with local and relative measurements

This paper considers a multi-agent system modeled as a group of Euler–Lagrange systems, and assumes that each agent only has perception of the real-time position-dependent gradient value of a local objective function and its relative position with other agents. Based on a seamless integration of a m...

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Veröffentlicht in:	Automatica (Oxford) Jg. 139; S. 110113
Hauptverfasser:	Qin, Zhengyan, Jiang, Liangze, Liu, Tengfei, Jiang, Zhong-Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2022
Schlagworte:	Distributed optimization Euler–Lagrange systems Relative measurements Uncertainties Distributed optimization Relative measurements Euler–Lagrange systems Uncertainties
ISSN:	0005-1098
Online-Zugang:	Volltext
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