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Root Locus Design for the Synchronization of Multi-Agent Systems in General Directed Networks

Khodaverdian, Saman ; Lanfermann, Felix ; Adamy, Jürgen (2023)
Root Locus Design for the Synchronization of Multi-Agent Systems in General Directed Networks.
In: IFAC-PapersOnLine, 2015, 48 (22)
doi: 10.26083/tuprints-00023291
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Root Locus Design for the Synchronization of Multi-Agent Systems in General Directed Networks
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2015
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC-PapersOnLine
Volume of the journal: 48
Issue Number: 22
DOI: 10.26083/tuprints-00023291
Corresponding Links:
Origin: Secondary publication service
Abstract:

This paper considers the synchronization problem of multi-agent SISO systems with general unidirectional communication structures. A distributed control strategy is presented which relies on relative output differences of neighboring agents and, thus, does not need relative state information. We propose a root locus design method to determine the synchronization gain. Since in directed networks the characteristic equation for synchronization might be complex valued, we use tools from the complex root locus technique to solve the synchronization task.

Uncontrolled Keywords: Synchronization, multi-agent systems, directed networks, output coupling, root locus
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-232916
Additional Information:

Zugl. Konferenzveröffentlichung: 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 10.-11.09.2015, Philadelphia, USA

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 01 Mar 2023 13:37
Last Modified: 26 May 2023 07:03
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23291
PPN: 507988639
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