This paper is concerned with the quasi-uniform synchronization (Q-US) issues of discrete
fractional fuzzy neural networks (DFFNNs) with time delays. Firstly, we analyze the neural …

This work delves into the passivity of fractional generalized Cohen–Grossberg neural
networks (CGNNs) with proportional delays. In particular, two forms of Lipschitz conditions …

It is crucial for us to build genetic regulatory models to reveal the relationship between
genes and protein efficaciously. In this work, a novel fractional delayed genetic regulatory …

In this paper, the concept of Lipschitz stability is introduced to impulsive delayed reaction-
diffusion neural network models of fractional order. Such networks are an appropriate …

The issues of finite time passivity are explored for BAM reaction–diffusion neural networks
including discrete delayed and Caputo fractional partial differential operator. With the help of …

Recently, passivity of fractional complex networks has aroused much interest, but the
concerned models contain only cooperative relationships and the competitive interaction …

This paper focuses on the globally asymptotic synchronization (GAS) for delayed drive-
response (DR) conformable fractional-order neural networks (CFONNS). Two differential …

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 …

This paper presents a novel terminal sliding-mode control (SMC) protocol to accomplish the
practical fixed-time (PFXT) consensus of second-order multi-agent systems (MASs) through …

This article investigates the problem of finite-time extended dissipativity performance for
fractional-order neural networks (FONNs) with uncertainties. We first extend the concept of …