Finite-time stability of fractional-order fuzzy cellular neural networks with time delays

F Du, JG Lu - Fuzzy Sets and Systems, 2022 - Elsevier
The finite-time stability of fractional-order fuzzy cellular neural networks with time delays is
investigated. One of the difficulties in stability analysis of fractional-order delayed systems …

New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay

F Du, JG Lu - Applied Mathematics and Computation, 2021 - Elsevier
A new fractional order Gronwall inequality with time delay is developed in this paper. Based
on this inequality, a new criterion for finite-time synchronization of fractional order memristor …

New results on finite-time stability for fractional-order neural networks with proportional delay

Z Yang, J Zhang, J Hu, J Mei - Neurocomputing, 2021 - Elsevier
This paper investigates the finite-time stability for a class of fractional-order neural networks
with proportional delay. By some analytic techniques, a generalized Gronwall integral …

Delay-dependent finite-time synchronization criterion of fractional-order delayed complex networks

F Du, JG Lu, QH Zhang - … in Nonlinear Science and Numerical Simulation, 2023 - Elsevier
The delay-dependent finite-time synchronization (FTS) is investigated for a class of fractional-
order delayed complex networks (FODCNs). First, with the aid of the Young inequality and …

Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

A Pratap, R Raja, J Cao, C Huang… - … Methods in the …, 2021 - Wiley Online Library
Dynamics of discrete‐time neural networks have not been well documented yet in fractional‐
order cases, which is the first time documented in this manuscript. This manuscript is mainly …

New approach to finite-time stability for fractional-order BAM neural networks with discrete and distributed delays

F Du, JG Lu - Chaos, Solitons & Fractals, 2021 - Elsevier
The finite-time stability (FTS) for fractional-order bidirectional associative memory neural
networks (FOBAMNNs) with discrete and distributed delays is investigated in this article …

An improved criterion on finite-time stability for fractional-order fuzzy cellular neural networks involving leakage and discrete delays

Z Yang, J Zhang, Z Zhang, J Mei - Mathematics and Computers in …, 2023 - Elsevier
This paper concentrates on the finite-time stability (FTS) for fractional-order fuzzy cellular
neural networks involving leakage and discrete delays. We propose a method to develop a …

Delay-dependent and order-dependent conditions for stability and stabilization of fractional-order memristive neural networks with time-varying delays

XC Jin, JG Lu, QH Zhang - Neurocomputing, 2023 - Elsevier
The stability and stabilization problems of fractional-order memristive neural networks with
time-varying delays are addressed. Based on Jensen-based integral inequalities, novel …

Robust stability of fractional-order systems with mixed uncertainties: The 0< α< 1 case

QH Zhang, JG Lu - Communications in Nonlinear Science and Numerical …, 2023 - Elsevier
This paper addresses the problems of robust stability of fractional-order systems with mixed
uncertainties, including multi-parameter uncertainties and norm-bounded uncertainties. The …

Practical finite-time synchronization of delayed fuzzy cellular neural networks with fractional-order

F Du, JG Lu, QH Zhang - Information Sciences, 2024 - Elsevier
The practical finite-time (PFT) synchronization of fractional-order delayed fuzzy cellular
neural networks (FODFCNNs) is presented in this article. Initially, a useful practical finite …