Stability analysis of fractional-order bidirectional associative memory neural networks with mixed time-varying delays
From MaRDI portal
Publication:2008322
DOI10.1155/2019/2363707zbMath1440.34083OpenAlexW2982517223WikidataQ126855189 ScholiaQ126855189MaRDI QIDQ2008322
Publication date: 25 November 2019
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/2363707
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Functional-differential equations with fractional derivatives (34K37)
Related Items (4)
New approach to finite-time stability for fractional-order BAM neural networks with discrete and distributed delays ⋮ On asymptotic properties of some neutral differential equations involving Riemann-Liouville fractional derivative ⋮ Finite-time stability criteria for a class of high-order fractional Cohen-Grossberg neural networks with delay ⋮ A new design method for observer-based control of nonlinear fractional-order systems with time-variable delay
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Finite-time parameter identification and adaptive synchronization between two chaotic neural networks
- Synchronization control of a class of memristor-based recurrent neural networks
- Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays
- About robust stability of Caputo linear fractional dynamic systems with time delays through fixed point theory
- A generalized Gronwall inequality and its application to a fractional differential equation
- Remarks on fractional derivatives
- Finite-time synchronization control of a class of memristor-based recurrent neural networks
- On global asymptotic stability of neural networks with discrete and distributed delays
- Mathematical modeling of different types of instabilities in time fractional reaction-diffusion systems
- The fundamental solutions for the fractional diffusion-wave equation
- Finite-time synchronization of fractional-order memristor-based neural networks with time delays
- Existence and globally asymptotic stability of equilibrium solution for fractional-order hybrid BAM neural networks with distributed delays and impulses
- Uniform stability analysis of fractional-order BAM neural networks with delays in the leakage terms
- Finite-time stability of fractional-order BAM neural networks with distributed delay
- Dynamics and control of initialized fractional-order systems
- Dynamics of a two-neuron system with discrete and distributed delays
- Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays
- Global Mittag-Leffler stability of complex valued fractional-order neural network with discrete and distributed delays
- An analysis of global robust stability of uncertain cellular neural networks with discrete and distributed delays
- Nonlinear vector integral equations as contraction mappings
- Finite-Time Stability for Fractional-Order Bidirectional Associative Memory Neural Networks with Time Delays
- Observer Design for Tracking Consensus in Second-Order Multi-Agent Systems: Fractional Order Less Than Two
- Applications of Fractional Calculus to the Theory of Viscoelasticity
- LMI-based approach to stability analysis for fractional-order neural networks with discrete and distributed delays
- Global exponential stability of fractional‐order impulsive neural network with time‐varying and distributed delay
- Mittag-Leffler synchronization of delayed fractional-order bidirectional associative memory neural networks with discontinuous activations: state feedback control and impulsive control schemes
- Finite-time stability of fractional order BAM neural networks with time delay
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Finite-Time Stability of Fractional-Order Neural Networks with Delay
- Analytic Inequalities
This page was built for publication: Stability analysis of fractional-order bidirectional associative memory neural networks with mixed time-varying delays
