Input-to-state stability of impulsive reaction-diffusion neural networks with infinite distributed delays
DOI10.1007/s11071-021-06208-6zbMath1517.93057OpenAlexW3125055566WikidataQ110648876 ScholiaQ110648876MaRDI QIDQ6174293
Xiaodi Li, Vladimir Stojanovic, Tengda Wei
Publication date: 16 August 2023
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-021-06208-6
input-to-state stabilityvector Lyapunov functionexistence-uniquenessinfinite distributed delayimpulsive reaction-diffusion neural network
Artificial neural networks and deep learning (68T07) Stability theory of functional-differential equations (34K20) Delay control/observation systems (93C43)
Related Items (22)
Cites Work
- Unnamed Item
- Input-to-state stability of impulsive stochastic delayed systems under linear assumptions
- Synchronization of coupled delayed switched neural networks with impulsive time window
- Synchronization of stochastic chaotic neural networks with reaction-diffusion terms
- Exponential input-to-state stability of stochastic Cohen-Grossberg neural networks with mixed delays
- Stability criteria for impulsive reaction-diffusion Cohen-Grossberg neural networks with time-varying delays
- Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay
- Global exponential stability of reaction-diffusion cellular neural networks with S-type distributed time delays
- Delay-independent exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms
- Semigroups of linear operators and applications to partial differential equations
- Persistence of delayed cooperative models: impulsive control method
- Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays
- Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption
- Input-to-state stability for impulsive switched systems with incommensurate impulsive switching signals
- Synchronization for impulsive hybrid-coupled reaction-diffusion neural networks with time-varying delays
- Global Mittag-Leffler stability analysis of impulsive fractional-order complex-valued BAM neural networks with time varying delays
- Synchronization and spatial patterns in a light-dependent neural network
- Exponential input-to-state stability of quaternion-valued neural networks with time delay
- Persistent impulsive effects on stability of functional differential equations with finite or infinite delay
- Global Mittag-Leffler stability and synchronization of impulsive fractional-order neural networks with time-varying delays
- Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality
- Global exponential stability and periodicity of reaction-diffusion delayed recurrent neural networks with Dirichlet boundary conditions
- Synchronization of Coupled Reaction-Diffusion Neural Networks with Time-Varying Delays via Pinning-Impulsive Controller
- Smooth stabilization implies coprime factorization
- Fixed-time control of delayed neural networks with impulsive perturbations
- Global exponential stabilization of impulsive neural networks with unbounded continuously distributed delays
- Input/output‐to‐state stability of nonlinear impulsive delay systems based on a new impulsive inequality
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