Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication
Proportional delay, which is different from time-varying delays and distributed delay, is a
kind of unbounded delay. The proportional delay system as an important mathematical …
kind of unbounded delay. The proportional delay system as an important mathematical …
Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control
D Xu, Y Liu, M Liu - Fuzzy Sets and Systems, 2021 - Elsevier
In this paper, the finite-time synchronization problem for multi-coupling fuzzy cellular neural
networks (FCNNs) with stochastic perturbations and mixed delays is addressed. Compared …
networks (FCNNs) with stochastic perturbations and mixed delays is addressed. Compared …
Exponential stability analysis for delayed semi-Markovian recurrent neural networks: A homogeneous polynomial approach
This paper investigates the exponential stability analysis issue for a class of delayed
recurrent neural networks (RNNs) with semi-Markovian parameters. By constructing a …
recurrent neural networks (RNNs) with semi-Markovian parameters. By constructing a …
Stabilization of second-order memristive neural networks with mixed time delays via nonreduced order
G Zhang, Z Zeng - IEEE transactions on neural networks and …, 2019 - ieeexplore.ieee.org
In this brief, we investigate a class of second-order memristive neural networks (SMNNs)
with mixed time-varying delays. Based on nonsmooth analysis, the Lyapunov stability …
with mixed time-varying delays. Based on nonsmooth analysis, the Lyapunov stability …
Finite-time and fixed-time synchronization of inertial Cohen–Grossberg-type neural networks with time varying delays
This paper is devoted to studying the finite-time and fixed-time of inertial Cohen–Grossberg
type neural networks (ICGNNs) with time varying delays. First, by constructing a proper …
type neural networks (ICGNNs) with time varying delays. First, by constructing a proper …
Existence and global exponential stability of pseudo almost periodic solution for neutral delay BAM neural networks with time-varying delay in leakage terms
In this paper, bidirectional associative memory (BAM) neural networks with time-varying
delays in leakage terms are investigated. A set of sufficient conditions are obtained for the …
delays in leakage terms are investigated. A set of sufficient conditions are obtained for the …
Existence and exponential stability of piecewise pseudo almost periodic solution of neutral-type inertial neural networks with mixed delay and impulsive perturbations
In this paper, the exponential stability of piecewise pseudo almost periodic solutions for
neutral-type inertial neural networks with time-varying, infinite-time distributed delays (mixed …
neutral-type inertial neural networks with time-varying, infinite-time distributed delays (mixed …
Finite-time and fixed-time synchronization of complex-valued recurrent neural networks with discontinuous activations and time-varying delays
This paper is concerned with finite-time and fixed-time synchronization of complex-valued
recurrent neural networks with discontinuous activations and time-varying delays. First, by …
recurrent neural networks with discontinuous activations and time-varying delays. First, by …
New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays
The present work accumulates the Exponential input-to-state stability (EISS) criteria of
memristor based delayed complex-valued neural networks (DMCNN) associated with an …
memristor based delayed complex-valued neural networks (DMCNN) associated with an …
Fixed-time synchronization of competitive neural networks with proportional delays and impulsive effect
This paper investigates the fixed-time synchronization problems for competitive neural
networks with proportional delays and impulsive effect. The concerned network involves two …
networks with proportional delays and impulsive effect. The concerned network involves two …