Stability for neural networks with time-varying delays via some new approaches
This paper considers the problem of delay-dependent stability criteria for neural networks
with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii …
with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii …
[HTML][HTML] Extended stability and control strategies for impulsive and fractional neural networks: A review of the recent results
In recent years, cellular neural networks (CNNs) have become a popular apparatus for
simulations in neuroscience, biology, medicine, computer sciences and engineering. In …
simulations in neuroscience, biology, medicine, computer sciences and engineering. In …
New Lyapunov–Krasovskii functionals for global asymptotic stability of delayed neural networks
This brief deals with the problem of global asymptotic stability for a class of delayed neural
networks. Some new Lyapunov-Krasovskii functionals are constructed by nonuniformly …
networks. Some new Lyapunov-Krasovskii functionals are constructed by nonuniformly …
New delay-dependent stability criteria for neural networks with time-varying delay using delay-decomposition approach
This brief is concerned with the problem of asymptotic stability of neural networks with time-
varying delays. The activation functions are monotone nondecreasing with known lower and …
varying delays. The activation functions are monotone nondecreasing with known lower and …
New approaches on stability criteria for neural networks with interval time-varying delays
This paper concerns the problem of delay-dependent stability criteria for neural networks
with interval time-varying delays. First, by constructing a newly augmented Lyapunov …
with interval time-varying delays. First, by constructing a newly augmented Lyapunov …
Analysis on delay-dependent stability for neural networks with time-varying delays
This paper considers the problem of delay-dependent stability criteria for neural networks
with time-varying delays. First, by constructing a newly augmented Lyapunov–Krasovskii …
with time-varying delays. First, by constructing a newly augmented Lyapunov–Krasovskii …
Delay-slope-dependent stability results of recurrent neural networks
By using the fact that the neuron activation functions are sector bounded and
nondecreasing, this brief presents a new method, named the delay-slope-dependent …
nondecreasing, this brief presents a new method, named the delay-slope-dependent …
Robust stability analysis for interval Cohen–Grossberg neural networks with unknown time-varying delays
In this paper, robust stability problems for interval Cohen-Grossberg neural networks with
unknown time-varying delays are investigated. Using linear matrix inequality, M-matrix …
unknown time-varying delays are investigated. Using linear matrix inequality, M-matrix …
Stability analysis of nonlinear system identification via delayed neural networks
J de Jesus Rubio, W Yu - … on Circuits and Systems II: Express …, 2007 - ieeexplore.ieee.org
In this brief, the identification problem for time-delay nonlinear system is discussed. We use
a delayed dynamic neural network to do on-line identification. This neural network has …
a delayed dynamic neural network to do on-line identification. This neural network has …
Novel stability of cellular neural networks with interval time-varying delay
In this paper, the asymptotic stability is investigated for a class of cellular neural networks
with interval time-varying delay (that is, 0< h1< d (t)< h2). By introducing a novel Lyapunov …
with interval time-varying delay (that is, 0< h1< d (t)< h2). By introducing a novel Lyapunov …