DocumentCode
2737131
Title
Robust Synchronization of Delayed Cellular Neural Networks with Parameters Uncertainties and Input Nonlinearity
Author
Cheng, Chao-Jung
Author_Institution
Kun Shan Univ., Tainan
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
265
Lastpage
265
Abstract
This paper investigates the robust synchronization problem for delayed cellular neural networks subject to parameter uncertainties and input nonlinearity. Using the drive-response concept, a memoryless decentralized variable structure control law for guaranteeing exponential synchronization of the system is derived even if parameter uncertainties and input nonlinearity are present. An example is given to demonstrate the effectiveness of the presented synchronization scheme.
Keywords
cellular neural nets; control nonlinearities; decentralised control; memoryless systems; neurocontrollers; uncertain systems; delayed cellular neural network; drive-response concept; exponential synchronization; input nonlinearity; memoryless decentralized variable structure control law; parameter uncertainty; robust synchronization; Cellular neural networks; Chaotic communication; Control systems; Neural networks; Neurons; Nonlinear control systems; Robustness; Uncertain systems; Uncertainty; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.504
Filename
4427910
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