Global exponential stability and periodicity of reaction–diffusion delayed recurrent neural networks with Dirichlet boundary conditions
JG Lu - Chaos, Solitons & Fractals, 2008 - Elsevier
In this paper, the global exponential stability and periodicity for a class of reaction–diffusion
delayed recurrent neural networks with Dirichlet boundary conditions are addressed by …
delayed recurrent neural networks with Dirichlet boundary conditions are addressed by …
Global exponential stability and global convergence in finite time of delayed neural networks with infinite gain
This paper introduces a general class of neural networks with arbitrary constant delays in
the neuron interconnections, and neuron activations belonging to the set of discontinuous …
the neuron interconnections, and neuron activations belonging to the set of discontinuous …
Global exponential stability of a general class of recurrent neural networks with time-varying delays
This brief presents new theoretical results on the global exponential stability of neural
networks with time-varying delays and Lipschitz continuous activation functions. These …
networks with time-varying delays and Lipschitz continuous activation functions. These …
Global asymptotic stability of a larger class of neural networks with constant time delay
S Arik - Physics Letters A, 2003 - Elsevier
This Letter presents some new sufficient conditions for the uniqueness and global
asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with …
asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with …
Delay-independent stability analysis of Cohen–Grossberg neural networks
In this Letter, we discuss a class of Cohen–Grossberg neural networks with time delays and
investigate their global asymptotic stability of the equilibrium point for this systems. By …
investigate their global asymptotic stability of the equilibrium point for this systems. By …
A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach
J Cao, DWC Ho - Chaos, Solitons & Fractals, 2005 - Elsevier
In this paper, global asymptotic stability is discussed for neural networks with time-varying
delay. Several new criteria in matrix inequality form are given to ascertain the uniqueness …
delay. Several new criteria in matrix inequality form are given to ascertain the uniqueness …
Passivity analysis of neural networks with time delay
The passivity conditions for delayed neural networks (DNNs) are considered in this paper.
We firstly derive the passivity condition for DNNs without uncertainties, and then extend the …
We firstly derive the passivity condition for DNNs without uncertainties, and then extend the …
[图书][B] Neural networks: computational models and applications
Neural Networks: Computational Models and Applications covers a wealth of important
theoretical and practical issues in neural networks, including the learning algorithms of feed …
theoretical and practical issues in neural networks, including the learning algorithms of feed …
[HTML][HTML] Stability analysis of Cohen–Grossberg neural network with both time-varying and continuously distributed delays
Q Song, J Cao - Journal of Computational and Applied Mathematics, 2006 - Elsevier
In this paper, the Cohen–Grossberg neural network model with both time-varying and
continuously distributed delays is considered. Without assuming both global Lipschitz …
continuously distributed delays is considered. Without assuming both global Lipschitz …