Balanced truncation of networked linear passive systems

Xiaodong Cheng (Corresponding author), Jacquelien M.A. Scherpen, Bart Besselink

Research output: Contribution to journalArticleAcademicpeer-review

18 Citations (Scopus)
49 Downloads (Pure)


This paper studies model order reduction of multi-agent systems consisting of identical linear passive subsystems, where the interconnection topology is characterized by an undirected weighted graph. Balanced truncation based on a pair of specifically selected generalized Gramians is implemented on the asymptotically stable part of the full-order network model, which leads to a reduced-order system preserving the passivity of each subsystem. Moreover, it is proven that there exists a coordinate transformation to convert the resulting reduced-order model to a state–spacemodel of Laplacian dynamics. Thus, the proposed method simultaneously reduces the complexity of the network structure and individual agent dynamics, and it preserves the passivity of the subsystems and the synchronization of the network. Moreover, it allows for the a priori computation of a bound on the approximation error. Finally, the feasibility of the method is demonstrated by an example.

Original languageEnglish
Pages (from-to)17-25
Number of pages9
Publication statusPublished - 1 Jun 2019


  • Balanced truncation
  • Laplacian matrix
  • Model reduction
  • Network topology
  • Passivity


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