Function projective synchronization in drive-response dynamical networks with non-identical nodes

DOI10.1016/j.chaos.2011.04.002zbMath1223.93041OpenAlexW2003416522MaRDI QIDQ634927

Hongyue Du

Publication date: 17 August 2011

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2011.04.002

zbMATH Keywords

function projective synchronizationdrive-response dynamical networks (DRDNs)adaptive open-plus-closed-loop (AOPCL) methodfunction projective synchronization (FPS)

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40)

Related Items (11)

Revealing network topology and dynamical parameters in delay-coupled complex network subjected to random noise ⋮ Projective lag synchronization in drive-response dynamical networks with delay coupling via hybrid feedback control ⋮ Adaptive stabilization and synchronization of non-diffusively coupled complex networks with nonidentical nodes of different dimensions ⋮ Modified function projective synchronization between two fractional-order complex dynamical networks with unknown parameters and unknown bounded external disturbances ⋮ Adaptive generalized function matrix projective lag synchronization of uncertain complex dynamical networks with different dimensions ⋮ Fractional-order two-component oscillator: stability and network synchronization using a reduced number of control signals ⋮ Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes ⋮ Projective lag synchronization of the general complex dynamical networks with distinct nodes ⋮ Finite-time stabilization and synchronization of complex dynamical networks with nonidentical nodes of different dimensions ⋮ Hybrid function projective synchronization in discrete dynamical networks via adaptive control ⋮ Synchronisation of complex dynamical networks with different dynamics of nodes via decentralised dynamical compensation controllers

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