Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays

2003 ◽  
Vol 50 (2) ◽  
pp. 268-275 ◽  
Author(s):  
Xiao-xin Liao ◽  
Jun Wang
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Time Delays ◽  
Global Exponential Stability ◽  
Cellular Neural Networks ◽  
Multiple Time ◽  
Multiple Time Delays

Exponential stability of cellular neural networks with multiple time delays and impulsive effects

2008 ◽  
Vol 17 (11) ◽  
pp. 4091-4099 ◽  
Author(s):  
Li Dong ◽  
Wang Hui ◽  
Yang Dan ◽  
Zhang Xiao-Hong ◽  
Wang Shi-Long
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Time Delays ◽  
Cellular Neural Networks ◽  
Impulsive Effects ◽  
Multiple Time ◽  
Multiple Time Delays

Exponential Stability for Continuous-Time Singular Systems With Multiple Time Delays

2003 ◽  
Vol 125 (2) ◽  
pp. 262-264 ◽  
Author(s):  
Yeong-Jeu Sun
Keyword(s):  
Convergence Rate ◽  
Exponential Stability ◽  
Stability Criterion ◽  
Continuous Time ◽  
Time Delays ◽  
Global Exponential Stability ◽  
Singular Systems ◽  
Multiple Time ◽  
Numerical Example ◽  
Multiple Time Delays

In this paper, the global exponential stability for a class of singular systems with multiple time delays is investigated. Simple stability criterion is derived to guarantee the global exponential stability of such systems. Moreover, an estimate of the convergence rate of such stable systems is presented. A numerical example is also provided to illustrate the main result.

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