Title :
Robust Synchronization of Delayed Cellular Neural Networks with Parameters Uncertainties and Input Nonlinearity
Author :
Cheng, Chao-Jung
Author_Institution :
Kun Shan Univ., Tainan
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.504
