DocumentCode :
1973602
Title :
Existence and exponential stability of almost periodic solutions for BAM cellular neural networks with time-varying delays and continuously distributed delays
Author :
Chen, Ninghua ; Xu, Junyan
Author_Institution :
Fujian Preschool Educ. Coll., Fuzhou, China
Volume :
1
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper consider a class of bidirectional associative memory (BAM) cellular neural networks with delays. By using the fixed point theorem and differential inequality techniques, some new sufficient conditions are established for the existence, uniqueness and global exponential stability of the almost periodic solutions. The obtained sufficient conditions are easy to verify and our results complement previously known results.
Keywords :
asymptotic stability; cellular neural nets; time-varying systems; BAM cellular neural networks; almost periodic solutions; bidirectional associative memory cellular neural networks; continuously distributed delays; differential inequality techniques; fixed point theorem; global exponential stability; time-varying delays; Cellular neural networks; Control theory; Delay; Stability; Vectors; Almost periodic solution; Cellular neural networks; Delays; Exponential stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
Type :
conf
DOI :
10.1109/ICSSEM.2012.6340710
Filename :
6340710
Link To Document :
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