Direct approach-based synchronization of fully quaternion-valued neural networks with inertial term and time-varying delay
K Xiong, C Hu, J Yu - Chaos, Solitons & Fractals, 2023 - Elsevier
In this article, the global exponential and asymptotic synchronization for a type of quaternion-
valued inertial delayed neural networks (QIDNNs) are explored by introducing a direct …
valued inertial delayed neural networks (QIDNNs) are explored by introducing a direct …
Master–slave synchronization of fractional-order memristive MAM neural networks with parameter disturbances and mixed delays
H Yan, Y Qiao, Z Ren, L Duan, J Miao - Communications in Nonlinear …, 2023 - Elsevier
In order to describe the system as realistically as possible, the fractional-order memristive
multidirectional associative memory neural networks (FOMMAMNNs) with parameter …
multidirectional associative memory neural networks (FOMMAMNNs) with parameter …
Exponential consensus of stochastic discrete multi-agent systems under DoS attacks via periodically intermittent control: An impulsive framework
J Zhuang, S Peng, Y Wang - Applied Mathematics and Computation, 2022 - Elsevier
This article is devoted to investigating the exponential leader-following consensus (ELFC) of
stochastic discrete multi-agent systems (SDMASs) in the presence of parameter …
stochastic discrete multi-agent systems (SDMASs) in the presence of parameter …
Fixed/prescribed-time synchronization of quaternion-valued fuzzy BAM neural networks under aperiodic intermittent pinning control: A non-separation approach
X Qin, H Jiang, J Qiu, C Hu - Neurocomputing, 2023 - Elsevier
This article concerns the fixed-time (FET) and prescribed-time (PET) synchronization of
quaternion-valued fuzzy BAM neural networks via aperiodic intermittent pinning control. First …
quaternion-valued fuzzy BAM neural networks via aperiodic intermittent pinning control. First …
A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks
In this article, several improved stability criteria for time-varying delayed neural networks
(DNNs) are proposed. A degree-dependent polynomial-based reciprocally convex matrix …
(DNNs) are proposed. A degree-dependent polynomial-based reciprocally convex matrix …
Finite-time synchronization of delayed fuzzy inertial neural networks via intermittent control
This paper addresses the finite-time synchronization (FTS) issue of delayed fuzzy inertial
neural networks (DFINNs) via intermittent control. The considered network model takes the …
neural networks (DFINNs) via intermittent control. The considered network model takes the …
Exponential synchronisation for delayed Clifford-valued coupled switched neural networks via static event-triggering rule
S Xing, H Luan, F Deng - International Journal of Systems Science, 2024 - Taylor & Francis
In the paper, the exponential synchronisation for delayed Clifford-valued coupled switched
neural networks via static event-triggering rule is studied. Firstly, the drive-response systems …
neural networks via static event-triggering rule is studied. Firstly, the drive-response systems …
Global asymptotic synchronisation of fuzzy inertial neural networks with time-varying delays by applying maximum-value approach
Z Yang, Z Zhang - International Journal of Systems Science, 2022 - Taylor & Francis
In the paper, we are concerned about the global asymptotic synchronisation for a class of
fuzzy master–slave inertial neural networks with time-varying delays. At present, most of the …
fuzzy master–slave inertial neural networks with time-varying delays. At present, most of the …
Aperiodically intermittent control strategy and adaptive synchronization of neural networks with inertial and memristive terms
M Liu, J Wang, H Jiang, C Hu - IEEE Access, 2023 - ieeexplore.ieee.org
The problem of adaptive aperiodic intermittent synchronization scheme is studied for inertial
memristive delayed neural networks by using a piecewise Lyapunov function in this article …
memristive delayed neural networks by using a piecewise Lyapunov function in this article …
Unpredictable and poisson stable oscillations of inertial neural networks with generalized piecewise constant argument
M Akhmet, M Tleubergenova, Z Nugayeva - Entropy, 2023 - mdpi.com
A new model of inertial neural networks with a generalized piecewise constant argument as
well as unpredictable inputs is proposed. The model is inspired by unpredictable …
well as unpredictable inputs is proposed. The model is inspired by unpredictable …