Adaptive synchronization in networks with heterogeneous uncertain Kuramoto-like units

Ilario A. Azzollini, Simone Baldi, Elias B. Kosmatopoulos

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)
27 Downloads (Pure)


We analyze adaptive synchronization capabilities in networks with Kuramoto-like units whose dynamical features are unknown and thus synchronization protocols must exhibit co-evolution capabilities. In the presence of heterogeneous and uncertain units, synchronization should be enabled by appropriate adaptive protocols that counteract the effect of heterogeneity. An interaction protocol is presented that is used by the units to communicate with each other: the protocol is based on a distributed disagreement measure. The aim of the protocol is to adapt feedback and coupling gains, so as to guarantee the emergence of a synchronous solution. The adaptive strategy is distributed, i.e. each unit self-determines the strength of its gains by using only neighboring measurements. Convergence of the synchronization error to zero is shown via Lyapunov analysis, and numerical examples demonstrate the effectiveness of the proposed protocol.

Original languageEnglish
Title of host publicationProceedings of 2018 European Control Conference (ECC2018)
Place of PublicationPiscataway, NJ, USA
ISBN (Electronic)978-3-9524-2698-2
ISBN (Print)978-3-9524-2699-9
Publication statusPublished - 2018
Event16th European Control Conference, ECC 2018 - Limassol, Cyprus
Duration: 12 Jun 201815 Jun 2018


Conference16th European Control Conference, ECC 2018
Abbreviated titleECC 2018
Internet address

Bibliographical note

Accepted Author Manuscript


  • Adaptive synchronization
  • Kuramoto-like model
  • uncertain systems.


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