Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control

DOI10.1016/j.neunet.2020.03.014zbMath1471.93228OpenAlexW3013855695WikidataQ90732552 ScholiaQ90732552MaRDI QIDQ1980408

Zhenyuan Guo, Bo Sun, Shiping Wen, Shengbo Wang, Tingwen Huang, Yuting Cao

Publication date: 8 September 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.03.014

zbMATH Keywords

time-varying delayexponential synchronizationsuper-twisting algorithmmemristive neural networkquantization function

Mathematics Subject Classification ID

Variable structure systems (93B12) Delay control/observation systems (93C43) Exponential stability (93D23) Networked control (93B70)

Related Items (10)

Strictly intermittent quantized control for fixed/predefined-time cluster lag synchronization of stochastic multi-weighted complex networks ⋮ Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control ⋮ Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations ⋮ Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control ⋮ Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control ⋮ Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances ⋮ Stability analysis for memristor-based stochastic multi-layer neural networks with coupling disturbance ⋮ Fixed/predefined-time synchronization of complex-valued discontinuous delayed neural networks via non-chattering and saturation control ⋮ Finite-time passivity and synchronization of coupled complex-valued memristive neural networks ⋮ Observer-based sliding mode synchronization control of complex-valued neural networks with inertial term and mixed time-varying delays

Cites Work

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• Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

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