This paper focuses on the exponential state estimation issue for Memristor-based Neural
Networks (MNNs) with semi-Markov Jump Parameters (semi-MJPs) and Time-varying Delay …

In this paper, the proportional–integral-type estimator design problem is studied for recurrent
neural networks under the encoding–decoding communication mechanism. In the process …

This paper focuses on studying the quasi-uniform (QU) synchronization on fractional-order
fuzzy neural networks (FOFNNs) with the proportional and distributed delays. The impacts of …

In this current study, we formulate a kind of new fractional BAM neural network model
concerning five neurons and time delays. First, we explore the existence and uniqueness of …

The stabilization of a class of impulsive neural networks (INNs) with bidirectional
proportional delays (BPDs) is considered. Here, both the INNs and the impulsive conditions …

This article investigates the issue of nonfragile state estimation (SE) for memristor-based
neural networks (MNNs) with leakage delay and proportional delay. In actual engineering, a …

This paper investigates the exponential mixed\(\mathcal {H} _ {\infty}/\mathcal {L} _ {2}-
\mathcal {L} _ {\infty}\) state estimation for Markov switching memristive neural networks …

This paper investigates the exponential mixed H∞/L 2-L∞ state estimation for Markov
switching memristive neural networks (MNNs) with time-varying delays. First, in addition to …

In this current study, we formulate a kind of new fractional BAM neural network model
concerning five neurons and time delays. First, we explore the existence and uniqueness of …