A survey of recent advances on stability analysis, state estimation and synchronization control for neural networks
Y Chen, N Zhang, J Yang - Neurocomputing, 2023 - Elsevier
Nowadays, neural networks have been widely applied in many fields such as pattern
recognition, signal and image processing and control theory. Over the past two decades or …
recognition, signal and image processing and control theory. Over the past two decades or …
Global asymptotic stability of a general class of recurrent neural networks with time-varying delays
In this paper, the existence and uniqueness of the equilibrium point and its global asymptotic
stability are discussed for a general class of recurrent neural networks with time-varying …
stability are discussed for a general class of recurrent neural networks with time-varying …
Global asymptotic and robust stability of recurrent neural networks with time delays
In this paper, two related problems, global asymptotic stability (GAS) and global robust
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …
Exponential stability of continuous-time and discrete-time cellular neural networks with delays
S Mohamad, K Gopalsamy - Applied Mathematics and Computation, 2003 - Elsevier
Convergence characteristics of continuous-time cellular neural networks with discrete
delays are studied. By using Lyapunov functionals, we obtain delay independent sufficient …
delays are studied. By using Lyapunov functionals, we obtain delay independent sufficient …
Chaotic attractors in delayed neural networks
H Lu - Physics Letters A, 2002 - Elsevier
This Letter investigates the complex dynamical behavior of delayed neural networks with
two neurons with the help of computer simulations. It has been shown that such networks …
two neurons with the help of computer simulations. It has been shown that such networks …
Stability analysis for neural networks with time-varying delay based on quadratic convex combination
In this paper, a novel method is developed for the stability problem of a class of neural
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …
Exponential stability and periodic oscillatory solution in BAM networks with delays
Both exponential stability and periodic oscillatory solution of bidirectional associative
memory (BAM) networks with axonal signal transmission delays are considered by …
memory (BAM) networks with axonal signal transmission delays are considered by …
Stability and Hopf bifurcation analysis on a simplified BAM neural network with delays
Y Song, M Han, J Wei - Physica D: Nonlinear Phenomena, 2005 - Elsevier
A delay-differential equation modelling a bidirectional associative memory (BAM) neural
network with three neurons is investigated. Its dynamics are studied in terms of local …
network with three neurons is investigated. Its dynamics are studied in terms of local …
Global exponential stability of delayed Hopfield neural networks
T Chen - Neural Networks, 2001 - Elsevier
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Global exponential stability and periodicity of recurrent neural networks with time delays
In this paper, the global exponential stability and periodicity of a class of recurrent neural
networks with time delays are addressed by using Lyapunov functional method and …
networks with time delays are addressed by using Lyapunov functional method and …