Adaptive synchronization in networks with heterogeneous uncertain Kuramoto-like units

Azzollini, Ilario A. Azzollini; Baldi, S.; Kosmatopoulos, Elias B. Kosmatopoulos

doi:10.23919/ECC.2018.8550539

Adaptive synchronization in networks with heterogeneous uncertain Kuramoto-like units

Conference paper (2018)

Authors

Ilario A. Azzollini Azzollini Student

S. Baldi

Elias B. Kosmatopoulos Kosmatopoulos Centre for Research and Technology-Hellas, Democritus University of Thrace

DOI: https://doi.org/10.23919/ECC.2018.8550539

Adaptive synchronization Kuramoto-like model Uncertain systems.

To reference this document use:

http://resolver.tudelft.nl/uuid:48cd9322-243c-4ef6-a7b4-205847d999cc

More Info

expand_more

Published Date

2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

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.

Files

Paper.pdf

(pdf | 0.469 Mb)

Unknown license