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[PDF] Top 20 Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

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Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

... on Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics, Part B, International Journal of Robotics and Automation, and has served as the Associate Editor or Editorial Board Member of several ... See full document

9

New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays

New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays

... the neural cells in practice, the existing neural network models cannot characterize the properties of a neural reaction process precisely ...complicated neural networks, a new ... See full document

8

Improved Results on Delay-range-dependent Robust Stability Criteria of Uncertain Neutral Systems with Mixed Interval Time-varying Delays

Improved Results on Delay-range-dependent Robust Stability Criteria of Uncertain Neutral Systems with Mixed Interval Time-varying Delays

... delay-dependent stability crite- ria are presented by using Lyapunov-Krasovskii approach or Lyapunov-Razumikhin ...the stability analysis of neutral systems with constants or time-varying ... See full document

14

New delay range dependent exponential stability criteria for certain neutral differential equations with interval discrete and distributed time varying delays

New delay range dependent exponential stability criteria for certain neutral differential equations with interval discrete and distributed time varying delays

... []. Stability analysis of uncertain neutral stochastic systems with time-varying delays has received the attention of a lot of theoreticians and engineers in this field over the ... See full document

18

Synchronization of a class of uncertain stochastic discrete time delayed neural networks

Synchronization of a class of uncertain stochastic discrete time delayed neural networks

... time neural networks. When implementing these networks for practical use, discrete-time types of models should be ...investigating discrete-time neural ...of discrete-time ... See full document

22

A perspective on graph theory based stability analysis of impulsive stochastic recurrent neural networks with time varying delays

A perspective on graph theory based stability analysis of impulsive stochastic recurrent neural networks with time varying delays

... of stochastic reaction–diffusion Cohen– Grossberg neural networks with time-varying delays was studied by using graph theory and the Lyapunov functional method; in [9], global exponential ... See full document

21

Stability analysis for uncertain neutral type stochastic nonlinear systems with mixed time varying delays

Stability analysis for uncertain neutral type stochastic nonlinear systems with mixed time varying delays

... [6]. Stochastic systems governed by Itô stochastic differential equations have attracted considerable attention, this being where the noise is described by Brownian motion [7, ...to stochastic time ... See full document

17

Further robust dissipativity analysis of uncertain stochastic generalized neural networks with Markovian jump parameters

Further robust dissipativity analysis of uncertain stochastic generalized neural networks with Markovian jump parameters

... dissipativity analysis of USGNNs presents a theoretical challenge, which has gained growing attention ...of delayed recurrent NNs, ...time-varying delays and unbounded ... See full document

18

Approximation of state variables for discrete time stochastic genetic regulatory networks with leakage, distributed, and probabilistic measurement delays: a robust stability problem

Approximation of state variables for discrete time stochastic genetic regulatory networks with leakage, distributed, and probabilistic measurement delays: a robust stability problem

... of uncertain discrete-time stochastic neu- ral networks with probabilistic measurement ...of delayed GRNs stabilization in [7]. Xiao et al. dis- cussed the stability, periodic ... See full document

27

Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α inverse Hölder activation functions

Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α inverse Hölder activation functions

... BAM neural networks for ensuring the stability performance when the leakage delay ...the stability behavior in the sense of asymptotic for BAM neural networks with mixed time ... See full document

31

Robust stability analysis for discrete and distributed time delays Markovian jumping reaction diffusion integro differential equations with uncertain parameters

Robust stability analysis for discrete and distributed time delays Markovian jumping reaction diffusion integro differential equations with uncertain parameters

... Lyapunov stability theory, and the M-matrix, H-matrix, and linear matrix inequality (LMI) techniques and variational methods to obtain the LMI-based stochastically exponential robust stability criterion for ... See full document

16

Global Asymptotic Stability for a New Class of Neutral Neural Networks

Global Asymptotic Stability for a New Class of Neutral Neural Networks

... asymptotic stability of neural ...both discrete and distributed delays and triple integral term for the neutral delay for the development of the derived results, and by employing ... See full document

6

Global asymptotic stability of piecewise homogeneous Markovian jump BAM neural networks with discrete and distributed time varying delays

Global asymptotic stability of piecewise homogeneous Markovian jump BAM neural networks with discrete and distributed time varying delays

... and stochastic variations. The H ∞ filtering analysis of piecewise homogeneous Markovian jump nonlinear systems has been studied in [], where the mode-dependent filter is ...the stochastic ... See full document

16

Delay probability distribution dependent stability criteria for discrete time stochastic neural networks with random delays

Delay probability distribution dependent stability criteria for discrete time stochastic neural networks with random delays

... of discrete-time stochastic neural networks (DSNNs) with time-varying delays and param- eter uncertainties is ...Recently, stability analysis for DSNNs with time-varying ... See full document

18

New Results of Global Asymptotical Stability for Impulsive Hopfield Neural Networks with Leakage Time Varying Delay

New Results of Global Asymptotical Stability for Impulsive Hopfield Neural Networks with Leakage Time Varying Delay

... engineer, neural networks, and so on [1] [2] [3] [4] ...on stability of dynamical ...of neural networks, Hopfield neural networks (HNN) have been successfully applied to ... See full document

15

Biperiodicity in neutral type delayed difference neural networks

Biperiodicity in neutral type delayed difference neural networks

... that neural networks with delays have a rich dynamical behavior that have been recently investigated by Huand and Li [1] and the references ...of neural networks ...the stability ... See full document

15

Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions

Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions

... with discrete delays are good approximation in simple circuits consisting of a small number of cells, NNs usually have a spatial extent due to the pre- sence of a multitude of parallel pathways with a ... See full document

14

Periodic solutions for stochastic shunting inhibitory cellular neural networks with distributed delays

Periodic solutions for stochastic shunting inhibitory cellular neural networks with distributed delays

... p-exponential stability of periodic solutions for a class of stochastic shunting inhibitory cellular neural networks (SICNNs) with distributed ... See full document

14

NEW SUFFICIENT CRITERIA FOR GLOBAL ROBUST STABILITY OF NEURAL NETWORKS WITH MULTIPLE TIME DELAYS

NEW SUFFICIENT CRITERIA FOR GLOBAL ROBUST STABILITY OF NEURAL NETWORKS WITH MULTIPLE TIME DELAYS

... It is clear that every solution of H(x) = 0 is an equilibrium point of (1). Therefore, we can conclude from Lemma 3 that, for the neural system defined by (2), there exists a unique equilibrium point for every ... See full document

18

Periodicity and exponential stability of discrete time neural networks with variable coefficients and delays

Periodicity and exponential stability of discrete time neural networks with variable coefficients and delays

... continuous-time neural models are of great importance in numerical simulations and practical ...a discrete model of continuous-time neural networks with variable coefficients and multiple ... See full document

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