Event-triggered synchronization for neutral-type semi-Markovian neural networks with partial mode-dependent time-varying delays
This article studies the event-triggered stochastic synchronization problem for neutral-type
semi-Markovian jump (SMJ) neural networks with partial mode-dependent additive time …
semi-Markovian jump (SMJ) neural networks with partial mode-dependent additive time …
Reachable set estimation for Markovian jump neural networks with time-varying delay
This paper is concerned with the reachable set estimation for Markovian jump neural
networks with time-varying delay and bounded peak inputs. The objective is to find a …
networks with time-varying delay and bounded peak inputs. The objective is to find a …
Stochastic stability criterion of neutral-type neural networks with additive time-varying delay and uncertain semi-Markov jump
H Zhang, Z Qiu, L Xiong - Neurocomputing, 2019 - Elsevier
In this paper, the stochastic stability problem for a class of neutral-type neural networks with
additive time-varying delay and uncertain semi-Markov jump is discussed. The uncertainty of …
additive time-varying delay and uncertain semi-Markov jump is discussed. The uncertainty of …
Multistability analysis of delayed quaternion-valued neural networks with nonmonotonic piecewise nonlinear activation functions
M Tan, Y Liu, D Xu - Applied Mathematics and Computation, 2019 - Elsevier
This paper deals with the multistability problem of the quaternion-valued neural networks
(QVNNs) with nonmonotonic piecewise nonlinear activation functions and unbounded time …
(QVNNs) with nonmonotonic piecewise nonlinear activation functions and unbounded time …
[PDF][PDF] Stability and dissipativity analysis for neutral type stochastic Markovian jump static neural networks with time delays
Y Cao, R Samidurai, R Sriraman - Journal of Artificial Intelligence and …, 2019 - sciendo.com
This paper studies the global asymptotic stability and dissipativity problem for a class of
neutral type stochastic Markovian Jump Static Neural Networks (NTSMJSNNs) with time …
neutral type stochastic Markovian Jump Static Neural Networks (NTSMJSNNs) with time …
Novel results on stability analysis of neutral-type neural networks with additive time-varying delay components and leakage delay
R Samidurai, S Rajavel, R Sriraman, J Cao… - International Journal of …, 2017 - Springer
The objective of this paper is to analyze the stability analysis of neutral-type neural networks
with additive time-varying delay and leakage delay. By constructing a suitable augmented …
with additive time-varying delay and leakage delay. By constructing a suitable augmented …
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC
The exponential asynchronous stabilization (EAS) issue for a category of neural networks
(NNs) with semi-Markov jump (SMJ) parameters and additive time-varying delays (ATDs) is …
(NNs) with semi-Markov jump (SMJ) parameters and additive time-varying delays (ATDs) is …
Intermittent control strategy for synchronization of fractional-order neural networks via piecewise Lyapunov function method
In this paper, the synchronization problem of fractional-order neural networks (FNNs) with
chaotic dynamics is investigated via the intermittent control strategy. Two types of intermittent …
chaotic dynamics is investigated via the intermittent control strategy. Two types of intermittent …
Delay-independent stability criteria for complex-valued BAM neutral-type neural networks with time delays
D Xu, M Tan - Nonlinear Dynamics, 2017 - Springer
This paper focuses on the global asymptotic stability of complex-valued bidirectional
associative memory (BAM) neutral-type neural networks with time delays. By virtue of …
associative memory (BAM) neutral-type neural networks with time delays. By virtue of …
New asymptotic stability analysis for generalized neural networks with additive time-varying delays and general activation function
F Liu, H Liu, K Liu - Neurocomputing, 2021 - Elsevier
This paper focuses on the asymptotic stability problems of the generalized neural networks
(GNNs) with two additive time-varying delays (ATDs) and general activation function. First of …
(GNNs) with two additive time-varying delays (ATDs) and general activation function. First of …