Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis

[1]  Zidong Wang,et al.  Robust stability for stochastic Hopfield neural networks with time delays , 2006 .

[2]  Wu-Hua Chen,et al.  Global exponential stability for discrete-time neural networks with variable delays , 2006 .

[3]  Hsin-Chieh Chen,et al.  Image-processing algorithms realized by discrete-time cellular neural networks and their circuit implementations , 2006 .

[4]  Lei Wang,et al.  Stability and bifurcation for discrete-time Cohen-Grossberg neural network , 2006, Appl. Math. Comput..

[5]  Zidong Wang,et al.  Exponential stability of delayed recurrent neural networks with Markovian jumping parameters , 2006 .

[6]  Lisheng Wang,et al.  Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Jinde Cao,et al.  Stability in Cohen–Grossberg-type bidirectional associative memory neural networks with time-varying delays , 2006 .

[8]  Yurong Liu,et al.  Stochastic stability of uncertain Hopfield neural networks with discrete and distributed delays , 2006 .

[9]  Maozhen Li,et al.  Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays , 2006, IEEE Transactions on Neural Networks.

[10]  Hongjun Xiang,et al.  Existence and global exponential stability of periodic solution for delayed high-order Hopfield-type neural networks , 2006 .

[11]  Lin Zou,et al.  Periodic solutions for nonautonomous discrete-time neural networks , 2006, Appl. Math. Lett..

[12]  Jinde Cao,et al.  Periodic solutions and its exponential stability of reaction–diffusion recurrent neural networks with continuously distributed delays , 2006 .

[13]  Jun Wang,et al.  Global robust stability of a class of discrete-time interval neural networks , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[14]  Zidong Wang,et al.  On global asymptotic stability of neural networks with discrete and distributed delays , 2005 .

[15]  James Lam,et al.  New approach to mixed H/sub 2//H/sub /spl infin// filtering for polytopic discrete-time systems , 2005, IEEE Transactions on Signal Processing.

[16]  Huijun Gao,et al.  LMI APPROACH TO ROBUST FILTERING FOR DISCRETE TIME‐DELAY SYSTEMS WITH NONLINEAR DISTURBANCES , 2005 .

[17]  Jinde Cao,et al.  A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach , 2005 .

[18]  Dewen Hu,et al.  Stability and bifurcation analysis on a discrete-time neural network , 2005 .

[19]  U. Shaked,et al.  Stability and guaranteed cost control of uncertain discrete delay systems , 2005 .

[20]  Jinde Cao,et al.  Global exponential stability of discrete-time Cohen-Grossberg neural networks , 2005, Neurocomputing.

[21]  Jinde Cao,et al.  Discrete-time bidirectional associative memory neural networks with variable delays , 2005 .

[22]  Jinde Cao,et al.  Convergence of Discrete-Time Recurrent Neural Networks with Variable Delay , 2005, Int. J. Bifurc. Chaos.

[23]  Huijun Gao,et al.  Delay-dependent output-feedback stabilisation of discrete-time systems with time-varying state delay , 2004 .

[24]  K. Gopalsamy,et al.  Exponential stability of continuous-time and discrete-time cellular neural networks with delays , 2003, Appl. Math. Comput..

[25]  S. Arik.  Stability analysis of delayed neural networks , 2000 .

[26]  I. Kevrekidis,et al.  Noninvertibility and resonance in discrete-time neural networks for time-series processing , 1998 .

[27]  A. Bountis.  Dynamical Systems And Numerical Analysis , 1997, IEEE Computational Science and Engineering.

[28]  Hongjun Xiang,et al.  EXISTENCE AND GLOBAL STABILITY OF PERIODIC SOLUTION FOR DELAYED DISCRETE HIGH-ORDER HOPFIELD-TYPE NEURAL NETWORKS , 2005 .

[29]  Lihua Xie,et al.  New Approach to Mixed Filtering for Polytopic Discrete-Time Systems , 2005 .

[30]  Wen Yu,et al.  Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms , 2004, Inf. Sci..

[31]  Kay Chen Tan,et al.  Global exponential stability of discrete-time neural networks for constrained quadratic optimization , 2004, Neurocomputing.

[32]  A. G. Naim,et al.  Discrete-time analogues of integrodifferential equations modelling bidirectional neural networks , 2002 .