A novel generalized neural network (NN), which includes Markovian jump parameters,
inertial items, and reaction-diffusion terms, is proposed, and the issue of finite-time …

In this paper, the non-fragile dissipative state estimation is addressed for semi-Markov jump
inertial neural networks with reaction-diffusion. A semi-Markov jump model is used to …

In an modern world, image encryption played an vital role to prevent our data from illegal
abuser entrée. Based on this, in this paper, the Markovian jump neural networks for …

This paper focuses on the problem of adaptive event-triggered L 2− L∞ control for
distributed parameter systems with semi-Markov jump parameters. An event-triggered …

This study investigates the issue of dissipative synchronisation for inertial neural networks
with Markovian jumping parameters and reaction–diffusion terms via the event‐based …

This paper investigates the stability of inertial neural networks (INNs) which incorporates the
effects of both intrinsic and extrinsic noises along with time-delay. These intrinsic and …

Stabilization of delayed inertial neural networks based on impulsesl is investigated in this
paper. Delay-dependent sufficient conditions of stabilization results are obtained as linear …

This work considers the problem of mean-square stochastic stability analysis of hybrid
stochastic inertial neural networks (INNs) with the effect of time-delays. Here, the hybrid …