Title :
Existence and stability of almost periodic solution for a general neural networks with impulses effects
Author :
Hu, Meng ; Wang, Lili
Author_Institution :
Dept. of Math., Anyang Normal Univ., Anyang, China
Abstract :
In this paper, we consider an impulsive nonlinear neural networks with variable time delays. Sufficient conditions ensuring the existence and global exponential stability of a unique almost periodic solution of the system are obtained, by the relation between the solutions of impulsive system and the corresponding non-impulsive system.
Keywords :
asymptotic stability; delays; neural nets; nonlinear systems; almost periodic solution; existence exponential stability; general neural networks; global exponential stability; impulsive nonlinear neural networks; impulsive system; nonimpulsive system; variable time delays; Almost periodic solution; Exponential dichotomy; Global exponential stability; Impulsive neural networks;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4577-0247-1
DOI :
10.1109/ICSSEM.2011.6081158
