EXPONENTIAL STABILITY ANALYSIS OF NEURAL NETWORKS WITH VARIABLE DELAYS
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Publication:3586868
DOI10.1142/S0218127410026691zbMath1193.34154OpenAlexW2102997351MaRDI QIDQ3586868
Yan Zhang, Wen-Li Su, Man-Chun Tan, Yu-Nong Zhang
Publication date: 1 September 2010
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218127410026691
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Stationary solutions of functional-differential equations (34K21)
Cites Work
- Exponential stability of neural networks with variable delays via LMI approach
- New LMI conditions for global exponential stability of cellular neural networks with delays
- New sufficient conditions for global asymptotic stability of Cohen-Grossberg neural networks with time-varying delays
- Global exponential stability of interval neural networks with variable delays
- Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays
- Novel stability of cellular neural networks with interval time-varying delay
- Exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with delays
- Asymptotic stability of nonlinear systems with unbounded delays
- Global robust exponential stability of delayed neural networks
- Global exponential stability of a class of neural networks with variable delays
- A new approach to exponential stability analysis of neural networks with time-varying delays
- GLOBAL EXPONENTIAL STABILITY FOR A CLASS OF IMPULSIVE INTEGRO-DIFFERENTIAL EQUATION
- EXPONENTIAL CONVERGENCE BEHAVIOR OF FUZZY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS AND TIME-VARYING COEFFICIENTS
- New conditions for global stability of neural networks with application to linear and quadratic programming problems
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