DocumentCode :
3418344
Title :
Algebraic condition of control for multiple time-delayed chaotic cellular neural networks
Author :
Yan, Lu ; He, Hanlin ; Xiong, Ping
Author_Institution :
Coll. of Sci., Navel Univ. of Eng., Wuhan, China
fYear :
2011
fDate :
19-21 Oct. 2011
Firstpage :
596
Lastpage :
600
Abstract :
This paper proposes algebraic conditions of control for multiple time-delayed chaotic cellular neural networks which can also be applied to chaotic cellular neural networks without time delays. Without many complex restrictions or Lyapunov analytic process, the feedback control which is easy to realize is proposed by utilizing M-matrix theory, the system parameters and the feedback section coefficients. The feasibility and effectiveness of the control are demonstrated via numerical calculations with the help of Matlab. The simulation results also demonstrate the ability of the control to stabilize both the time-delayed chaotic cellular neural networks and some other chaotic cellular neural networks.
Keywords :
Lyapunov methods; delays; feedback; matrix algebra; neural nets; stability; Lyapunov analytic process; M-matrix theory; Matlab; algebraic condition; feedback control; feedback section coefficient; multiple time-delayed chaotic cellular neural networks; stability; time delays; Artificial neural networks; Cellular neural networks; Chaotic communication; Delay; Educational institutions; Feedback control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
Type :
conf
DOI :
10.1109/IWACI.2011.6160078
Filename :
6160078
Link To Document :
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