DocumentCode
1584925
Title
Global Exponential Stability of Impulsive Cellular Neural Network with Delay
Author
Gui, Zhanji ; Zhan, Jie ; Xing, Chunbo
Author_Institution
Hainan Normal Univ., Hainan
Volume
1
fYear
2007
Firstpage
463
Lastpage
467
Abstract
Sufficient conditions are obtained for the existence and global exponential stability of a unique equilibrium of a class of cellular neural network with Lipschitzian activation functions without assuming their boundedness, monotonicity or differentiability and subjected to impulsive state displacements at fixed instants of time. An illustrative example is given to demonstrate the effectiveness of the obtained results.
Keywords
asymptotic stability; cellular neural nets; Lipschitzian activation functions; cellular neural network; global exponential stability; Artificial neural networks; Biological system modeling; Cellular neural networks; Delay effects; Differential equations; Hopfield neural networks; Mathematics; Neural networks; Neurons; Stability; Equilibrium; Impulses; Neural networks; Stability.;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.404
Filename
4344234
Link To Document