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Transient Control of Linear Multi-Agent Systems with Leader-Follower Configuration
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-3199-4015
Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, USA, 02139.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-7309-8086
2025 (English)In: 2025 American Control Conference, ACC 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025, p. 3578-3583Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a distributed control framework for leader-follower multi-agent systems with general linear dynamics to achieve consensus alongside prescribed transient performance. The multi-agent system is in a leader-follower configuration with only a set of agents selected as leaders and controlled via external inputs. In particular, we propose a distributed control framework comprising a prescribed performance controller for the leaders, while the followers are governed solely by a consensus protocol. When the decay rate of the performance functions is within a sufficient bound, we show that this distributed control law achieves consensus for the entire multi-agent system, with the guarantee that the trajectories of the consensus errors remain bounded by a time-varying prescribed transient performance function. Finally, the proposed results are illustrated through numerical examples.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. p. 3578-3583
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-370825DOI: 10.23919/ACC63710.2025.11107638Scopus ID: 2-s2.0-105015664315OAI: oai:DiVA.org:kth-370825DiVA, id: diva2:2003159
Conference
2025 American Control Conference, ACC 2025, Denver, United States of America, July 8-10, 2025
Note

Part of ISBN 9798331569372

QC 20251003

Available from: 2025-10-03 Created: 2025-10-03 Last updated: 2025-10-03Bibliographically approved

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Liu, SiyuanDimarogonas, Dimos V.

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CiteExportLink to record
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  • apa
  • ieee
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  • en-US
  • fi-FI
  • nn-NO
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Output format
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