New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays
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Publication:2146705
DOI10.1016/j.matcom.2021.01.020OpenAlexW3128929305WikidataQ115569063 ScholiaQ115569063MaRDI QIDQ2146705
M. Iswarya, R. Raja, C. Maharajan, Michał Niezabitowski, Cao, Jinde, Jehad O. Alzabut
Publication date: 21 June 2022
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2021.01.020
Kirchhoff's matrix tree theoremcomplex-valued neural networksEISSproportional delays and distributed time-varying delays
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Cites Work
- Unnamed Item
- Complex-valued neural networks with multi-valued neurons.
- Synchronization of fractional-order memristor-based complex-valued neural networks with uncertain parameters and time delays
- Complex-valued neural networks
- Finite-time synchronization of memristor-based complex-valued neural networks with time delays
- Input-to-state stability analysis for memristive BAM neural networks with variable time delays
- Global-stability problem for coupled systems of differential equations on networks
- Stability and chaos in an inertial two-neuron system
- Novel global robust exponential stability criterion for uncertain inertial-type BAM neural networks with discrete and distributed time-varying delays via Lagrange sense
- Finite-time stability of a class of fuzzy cellular neural networks with multi-proportional delays
- Global robust stability of delayed recurrent neural networks
- Impulsive effects on competitive neural networks with mixed delays: existence and exponential stability analysis
- Global exponential convergence for impulsive inertial complex-valued neural networks with time-varying delays
- Robust stability of uncertain stochastic complex-valued neural networks with additive time-varying delays
- Stability analysis of stochastic BAM neural networks with reaction-diffusion, multi-proportional and distributed delays
- Synchronization stability of memristor-based complex-valued neural networks with time delays
- Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption
- A graph-theoretic approach to the method of global Lyapunov functions
- Complex Valued Nonlinear Adaptive Filters
- Smooth stabilization implies coprime factorization
- COMPLETE STABILITY FOR STANDARD CELLULAR NEURAL NETWORKS
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