Model reduction of linear multi-agent systems by clustering with \(\mathcal H_2\) and \(\mathcal H_\infty \) error bounds

DOI10.1007/s00498-018-0212-6zbMath1395.93134OpenAlexW2577073855WikidataQ115214776 ScholiaQ115214776MaRDI QIDQ1650859

Hidde-Jan Jongsma, Sara Grundel, Peter Benner, Harry L. Trentelman, Petar Mlinarić

Publication date: 13 July 2018

Published in: MCSS. Mathematics of Control, Signals, and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00498-018-0212-6

zbMATH Keywords

clusteringmodel reductionmulti-agent systemconsensusgraph partitions

Mathematics Subject Classification ID

Linear systems in control theory (93C05) System structure simplification (93B11) Control/observation systems governed by ordinary differential equations (93C15) Agent technology and artificial intelligence (68T42)

Related Items (3)

\( \mathcal{H}_2\) model reduction for diffusively coupled second-order networks by convex-optimization ⋮ 11 Reduced-order modeling of large-scale network systems ⋮ Clustering-Based Model Order Reduction for Nonlinear Network Systems

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