New fixed-time stability lemmas and applications to the discontinuous fuzzy inertial neural networks
This article aims to analyze the fixed-time synchronization of a class of discontinuous fuzzy
inertial neural networks with time-varying delays based on the new improved fixed-time …
inertial neural networks with time-varying delays based on the new improved fixed-time …
Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties
This paper aims to investigate the fixed-time synchronization analysis for discontinuous
fuzzy inertial neural networks in the presence of parameter uncertainties. By using a new …
fuzzy inertial neural networks in the presence of parameter uncertainties. By using a new …
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption
The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …
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 …
investigated. One of the difficulties in stability analysis of fractional-order delayed systems …
Finite-time synchronization for fuzzy inertial neural networks by maximum value approach
Z Zhang, J Cao - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
In this article, the finite-time synchronization of drive-response fuzzy inertial neural networks
with delays is considered. Without applying the finite-time stability theorems and integral …
with delays is considered. Without applying the finite-time stability theorems and integral …
Finite-time synchronization of TS fuzzy memristive neural networks with time delay
This paper focuses on the study of synchronization problem for TS fuzzy memristive neural
networks with time delay. First, a delay-independent nonlinear fuzzy control is designed …
networks with time delay. First, a delay-independent nonlinear fuzzy control is designed …
Fixed/predefined-time synchronization of fuzzy neural networks with stochastic perturbations
M Abudusaimaiti, A Abdurahman, H Jiang… - Chaos, Solitons & Fractals, 2022 - Elsevier
In this work, fixed-time (FXT) and predefined-time (PDT) synchronization issue of a type of
fuzzy cellular neural networks (FCNNs) with stochastic perturbations is concerned via using …
fuzzy cellular neural networks (FCNNs) with stochastic perturbations is concerned via using …
Finite-time synchronization for fuzzy neutral-type inertial neural networks with time-varying coefficients and proportional delays
J Jian, L Duan - Fuzzy Sets and Systems, 2020 - Elsevier
This paper focuses on the finite-time synchronization for fuzzy neutral-type inertial neural
networks with time-varying coefficients and proportional delays. To end this, by choosing …
networks with time-varying coefficients and proportional delays. To end this, by choosing …
Finite-time synchronization for fuzzy cellular neural networks with time-varying delays
A Abdurahman, H Jiang, Z Teng - Fuzzy Sets and Systems, 2016 - Elsevier
In this paper, finite-time synchronization for a class of fuzzy cellular neural networks with
time-varying delays is investigated based on the finite-time stability theory. By applying the …
time-varying delays is investigated based on the finite-time stability theory. By applying the …
Finite-time and fixed-time synchronization control of fuzzy Cohen-Grossberg neural networks
F Kong, Q Zhu, R Sakthivel - Fuzzy Sets and Systems, 2020 - Elsevier
This paper aims to investigate the finite-time and fixed-time robust synchronization of fuzzy
Cohen-Grossberg neural networks with discontinuous activations. To deal with the …
Cohen-Grossberg neural networks with discontinuous activations. To deal with the …