Jun 9, 2021 · This article studies the problem of the stability for Markovian neural networks (MNNs) with time delay. The transition rate is considered to be generally ...

Abstract—This article studies the problem of the stability for Markovian neural networks (MNNs) with time delay. The transi- tion rate is considered to be ...

This article studies the problem of the stability for Markovian neural networks (MNNs) with time delay. The transition rate is considered to be generally ...

IEEE Transactions on Neural Networks and Learning Systems. > 2021. Stochastic Stability of Markovian Neural Networks with Generally Hybrid Transition Rates.

“…The delay phenomenon may reduce the convergence rate to equilibria of NNs and even cause considerable damage to the stability of systems. The delay phenomena ...

This paper is concerned with stabilization of hybrid neural networks by intermittent control based on continuous or discrete-time state observations.

Its robust stochastic stability in the case of uncertain switching probabilities and intrinsic noises is then addressed from the stochastic system point of view ...

In this paper, stochastic stability and stabilization problems are investigated for the Markovian switching complex-valued neural networks with mixed delays.

The stability of delayed Markovian generalized neural networks is studied where the transition rates of the modes are partly unknown.

Mar 13, 2019 · This paper investigates the problem of exponential stability of Neural Networks (NNs) with Markovian parameters and general noise.