Exponential synchronization of fractional-order reaction-diffusion coupled neural networks with hybrid delay-dependent impulses
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Publication:2027370
DOI10.1016/j.jfranklin.2021.02.003zbMath1464.93063OpenAlexW3127844032WikidataQ115570671 ScholiaQ115570671MaRDI QIDQ2027370
Cheng Hu, Haijun Jiang, Juan Yu, Shuai Yang
Publication date: 26 May 2021
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.02.003
Control/observation systems governed by partial differential equations (93C20) Fractional derivatives and integrals (26A33) Delay control/observation systems (93C43) Exponential stability (93D23) Networked control (93B70) Impulsive control/observation systems (93C27)
Related Items (13)
Further results on Mittag-Leffler synchronization of fractional-order coupled neural networks ⋮ Cluster synchronization of nonlinearly coupled Lur'e networks: delayed impulsive adaptive control protocols ⋮ Quasi-synchronization of fractional-order multi-layer networks with mismatched parameters via delay-dependent impulsive feedback control ⋮ Saturated delayed impulsive effects for fractional order nonlinear system with piecewise Caputo derivative and its application ⋮ Global synchronization for BAM delayed reaction-diffusion neural networks with fractional partial differential operator ⋮ Synchronization of fractional-order delayed neural networks with reaction-diffusion terms: distributed delayed impulsive control ⋮ Quasi-synchronization for variable-order fractional complex dynamical networks with hybrid delay-dependent impulses ⋮ Pinning synchronization of fractional memristor-based neural networks with neutral delays and reaction-diffusion terms ⋮ Input-to-state stability of stochastic differential systems with hybrid delay-dependent impulses ⋮ Global exponential stability for delayed Clifford-valued coupled neural networks with impulsive effects ⋮ Unnamed Item ⋮ Further exploration on bifurcation of fractional-order six-neuron bi-directional associative memory neural networks with multi-delays ⋮ Two boundary coupling approaches for synchronization of stochastic reaction-diffusion neural networks based on semi-linear PIDEs
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