Title :
Global Exponential Periodicity and Stability of a Class of Impulsive Neural Networks with Finite Distributed Delays
Author :
Liu, Lechun ; Sun, Jianzhi
Author_Institution :
Coll. of Sci., Yanshan Univ., Qinhuangdao
Abstract :
By constructing proper Lyapunov function and using some analysis techniques in the impulsive differential equation theory. A sufficient condition which ensures the global exponential periodicity and stability of neural networks with impulses and finite distributed delays is obtained. The obtained results in this paper improve and extend those given in the earlier literature.
Keywords :
asymptotic stability; delays; differential equations; distributed control; neural nets; Lyapunov function; finite distributed delays; global exponential periodicity; impulsive differential equation theory; impulsive neural networks; stability; Cellular neural networks; Delay effects; Hopfield neural networks; Neural networks; Neurofeedback; Neurons; Output feedback; Stability; State feedback; Sufficient conditions; Finite distributed delay; Global exponential periodicity; Neural network; Stability;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.856
