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Finite-time synchronization of reaction-diffusion neural networks with time-varying parameters and discontinuous activations

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0 Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.02.065

Abstract: Abstract The issue of finite-time synchronization (FTS) of discontinuous reaction-diffusion neural networks (DRDNNs) with time-varying coefficients is investigated here. First, the effects caused by discontinuous activations are handled by differential inclusion theory. Secondly, a relaxed… read more here.

Keywords: finite time; time; reaction diffusion; time synchronization ... See more keywords

Robust H∞ Pinning Synchronization for Multiweighted Coupled Reaction-Diffusion Neural Networks.

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1 Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3223713

Abstract: This article focuses on the robust H∞ synchronization of two types of coupled reaction-diffusion neural networks with multiple state and spatial diffusion couplings by utilizing pinning adaptive control strategies. First, based on the Lyapunov functional… read more here.

Keywords: neural networks; diffusion; diffusion neural; reaction diffusion ... See more keywords

Pinning Impulsive Synchronization of Reaction–Diffusion Neural Networks With Time-Varying Delays

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0 Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2016.2518479

Abstract: This paper investigates the exponential synchronization of reaction–diffusion neural networks with time-varying delays subject to Dirichlet boundary conditions. A novel type of pinning impulsive controllers is proposed to synchronize the reaction–diffusion neural networks with time-varying… read more here.

Keywords: synchronization; diffusion neural; reaction diffusion; neural networks ... See more keywords

Synchronization of Coupled Reaction–Diffusion Neural Networks With Directed Topology via an Adaptive Approach

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0 Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2672781

Abstract: This paper investigates the synchronization issue of coupled reaction–diffusion neural networks with directed topology via an adaptive approach. Due to the complexity of the network structure and the presence of space variables, it is difficult… read more here.

Keywords: networks directed; neural networks; topology; coupled reaction ... See more keywords

Stability of Delayed Reaction-Diffusion Neural-Network Models With Hybrid Impulses via Vector Lyapunov Function.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3143884

Abstract: This article focuses on stability analysis of delayed reaction-diffusion neural-network models with hybrid impulses based on the vector Lyapunov function. First, several properties of a vector Halanay-type inequality are given to be the key ingredient… read more here.

Keywords: neural network; delayed reaction; hybrid impulses; diffusion neural ... See more keywords