Petro Feketa

Dr. Petro Feketa

Chair of Automatic Control, Christian-Albrechts-University, 24143 Kiel, Germany

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2017 in Nonlinear Analysis: Hybrid Systems
Verified
Journal Article
Closed access
SDSergey Dashkovskiy
Sergey Dashkovskiy
Petro FeketaPetro Feketa
Petro Feketa

1 November 2020 in Nonlinear Analysis: Hybrid Systems
Verified
Journal Article
Closed access
JMJosé L. Mancilla-Aguilar
José L. Mancilla-Aguilar
HHHernan Haimovich
Hernan Haimovich
Petro FeketaPetro Feketa
Petro Feketa

1 December 2021 in Communications in Nonlinear Science and Numerical Simulation
Verified
Journal Article
Closed access
Petro FeketaPetro Feketa
Petro Feketa
VKVladimir Klinshov
Vladimir Klinshov
LLLeonhard Lücken
Leonhard Lücken

1 June 2019 in Automatica
Verified
Journal Article
Closed access
Petro FeketaPetro Feketa
Petro Feketa
NBNaim Bajcinca
Naim Bajcinca

28 July 2020 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
Petro FeketaPetro Feketa
Petro Feketa
ASAlexander Schaum
Alexander Schaum
TMThomas Meurer
Thomas Meurer
We prove the existence of a multi-dimensional non-trivial invariant toroidal manifold for the Kuramoto network with adaptive coupling. The constructed invariant manifold corresponds to the multi-cluster behavior of the oscillators phases. Contrary to the static coupling, the adaptive coupling strengths exhibit quasiperiodic oscillations preserving zero phase-difference within clusters. The derived sufficient conditions for the existence of the invariant manifold provide a trade-off between the natural frequencies of the oscillators, coupling plasticity parameters, and the interconnection structure of the network. Furthermore, we study the robustness of the invariant manifold with respect to the perturbations of the interconnection topology and establish structural and quantitative constraints on the perturbation adjacency matrix preserving the invariant manifold. Additionally, we demonstrate the application of the new results to the problem of interconnection topology design which consists in endowing the desired multi-cluster behavior to the network by controlling its interconnection structure.

1 November 2018 in Nonlinear Analysis: Hybrid Systems
Verified
Journal Article
Closed access
SDSergey Dashkovskiy
Sergey Dashkovskiy
Petro FeketaPetro Feketa
Petro Feketa