Results 81 to 90 of about 273,778 (204)
Dynamic Analysis of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
Stochastic effects on convergence dynamics of reaction-diffusion Cohen-Grossberg neural networks (CGNNs) with delays are studied. By utilizing Poincaré inequality, constructing suitable Lyapunov functionals, and employing the method of stochastic ...
Pan Jie, Zhong Shouming
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Exponential Stability in Mean Square of Stochastic Neural Networks with Delays
Abstract In this paper we shall dicuss the exponential stability in mean square for a stochastic neural network with delays of the form dx ( t ) = [— Bx ( t ) + Ag ( x (t))] dt + σ( x ( t ), g ( x (t))dω( t ). In the case when σ( х , у ) ≡ 0 the stochastic network becomes a deterministic network with deladys ů ( t ) = — Bx ( t ) + Ag ( x (t)).
X.X. Liao, X. Mao
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In this paper, by employing the fractional power of operators, semigroup theory, and fixed point strategy we obtain some new criteria ensuring the existence and exponential stability of a class of impulsive neutral stochastic integrodifferential ...
Yong-Ki Ma, G. Arthi, S. Marshal Anthoni
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The Orbital Stability of Planets Trapped in the First-Order Mean-Motion Resonances
Many extrasolar planetary systems containing multiple super-Earths have been discovered. N-body simulations taking into account standard type-I planetary migration suggest that protoplanets are captured into mean-motion resonant orbits near the inner ...
Ida, Shigeru +2 more
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Exponential stability for a class of singularly perturbed It\^{o} differential equations
The problem of exponential stability in mean square of the zero solution for a class of singularly perturbed system of Itô differential equations is investigated. Estimates of the block components of the fundamental random matrix are provided.
V. Dragan, T. Morozan
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This paper is mainly concerned with the globally exponential stability in mean square of uncertain neutral stochastic systems with mixed delays and Markovian jumping parameters.
Huabin Chen
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Absolute mean square exponential stability of Lur’e stochastic distributed parameter control systems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay
This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations. By using Lyapunov functions and Razumikhin techniques, some easy-to-test
Chunge Lu, Linshan Wang
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This paper studies the exponential stability in the mean square of the stochastic complex networks with time-varying coupling under an intermittent dynamic event-triggered control.
Yongbao Wu, Jiayi Bing
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This paper studies the asymptotic behavior for a class of delayed reaction-diffusion Hopfield neural networks driven by finite-dimensional Wiener processes. Some new sufficient conditions are established to guarantee the mean square exponential stability
Xiao Liang, Linshan Wang
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