[HTML][HTML] Exponential stability of delay dependent neutral-type descriptor neural networks with uncertain parameters
C Maharajan, C Sowmiya - Franklin Open, 2023 - Elsevier
The idea of delay-dependent states of neutral-type uncertain descriptor neural networks with
mixed delays in time-varying sense (ie discrete & distributed) and leakage delays is …
mixed delays in time-varying sense (ie discrete & distributed) and leakage delays is …
Bipartite Synchronization of Fractional Order Multiple Memristor Coupled Delayed Neural Networks with Event Triggered Pinning Control
PB Dhivakaran, M Gowrisankar… - Neural Processing Letters, 2024 - Springer
This paper investigates the leader and leaderless bipartite synchronization with the signed
network utilizing the model of multiple memristor and coupled delayed neural network in an …
network utilizing the model of multiple memristor and coupled delayed neural network in an …
Robust passivity analysis for uncertain stochastic switched inertial neural networks with time‐varying delay under a new state‐dependent switching law
A Nasira Banu, K Banupriya… - Mathematical Methods in …, 2024 - Wiley Online Library
This paper addresses the problems of passivity and robust passivity for a class of stochastic
switched inertial neural networks (SSINNs) with time‐varying parametric uncertainties. First …
switched inertial neural networks (SSINNs) with time‐varying parametric uncertainties. First …
Globally asymptotic stability analysis for memristor‐based competitive systems of reaction–diffusion delayed neural networks
Y Gholami - Mathematical Methods in the Applied Sciences, 2023 - Wiley Online Library
The main aim of this investigation is to present a mathematical criterion that guarantees the
global asymptotic stability of special class of nonlinear neural systems. Indeed, a memristor …
global asymptotic stability of special class of nonlinear neural systems. Indeed, a memristor …