Multilayer proportional-integral consensus of heterogeneous multi-agent systems

Daniel Burbano, Mario Di Bernardo

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
230 Downloads (Pure)

Abstract

A distributed proportional-integral multilayer strategy is proposed, to achieve consensus in networks of heterogeneous first-order linear systems. The closed-loop network can be seen as an instance of so-called multiplex networks currently studied in network science. The strategy is able to guarantee consensus, even in the presence of constant disturbances and heterogeneous node dynamics. Contrary to previous approaches in the literature, the proportional and integral actions are deployed here on two different layers across the network, each with its own topology. Explicit expressions for the consensus values are obtained together with sufficient conditions guaranteeing convergence. The effectiveness of the theoretical results are illustrated via numerical simulations using a power network example.
Original languageEnglish
Title of host publication54th IEEE Conference on Decision and Control (CDC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781479978861, 9781479978847, 9781479978854
DOIs
Publication statusPublished - 11 Feb 2016

Keywords

  • Multiplexing
  • Laplace equations
  • Decentralised control
  • Nonhomogeneous media
  • Power system dynamics
  • Convergence
  • Eigenvalues and eigenfunctions

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