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Robust Synchronization in Multi-Agent Networks with Unstable Dynamics
Institute for Mathematics and Its Applications, University of Minnesota, Minneapolis, United States.
LuleƄ University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan.
2018 (English)In: IEEE Transactions on Control of Network Systems, E-ISSN 2325-5870, Vol. 5, no 1, p. 205-214Article in journal (Refereed) Published
Abstract [en]

The problem of synchronization in heterogenous linear time-invariant networks is investigated. An approach blending the theory of integral quadratic constraints (IQCs) with the gap metric is proposed to study the problem within a unifying framework, where both the agents and communication channels can be dynamic, infinite-dimensional, unstable, and uncertain. Structural properties of the uncertainty are described by IQCs and exploited in the analysis to reduce conservatism. The homotopy employed in IQC analysis is defined with respect to the graph topology induced by the gap metric, whereby open-loop unstable dynamics are accommodated. Sufficient conditions for synchronism are provided, extending recent developments which have been shown to unify several existing synchronization analysis results in the literature.

Place, publisher, year, edition, pages
IEEE, 2018. Vol. 5, no 1, p. 205-214
Keywords [en]
Consensus, integral quadratic constraints, multi-agent networks, synchronization, uncertainty, unstable dynamics
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-102210DOI: 10.1109/TCNS.2016.2594482ISI: 000427871900019Scopus ID: 2-s2.0-85044503053OAI: oai:DiVA.org:ltu-102210DiVA, id: diva2:1808927
Note

Funder: MOST (103-2221-E-110-060, 104-2221-E-110-044);

Available from: 2023-11-01 Created: 2023-11-01 Last updated: 2024-03-07Bibliographically approved

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