DocumentCode :
175610
Title :
Projective synchronization control of unknown chaotic neural networks with delay and noise perturbation
Author :
Quanquan Zhou ; Wuneng Zhou ; Yanglan Ou ; Anding Dai ; Jiaoling Chen
Author_Institution :
Coll. of Inf. & Technol., Donghua Univ., Shanghai, China
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
67
Lastpage :
71
Abstract :
In this paper, we focus on projective synchronization control of unknown chaotic neural networks, which has time-delay and noise perturbation. Based on Lyapunov method and LMI approach, a controller is designed and some simple criteria are obtained to guarantee the projective synchronization for master and slave unknown chaotic neural networks with time-delay and random noise. Furthermore, a numerical example is given to illustrate the validity of the theoretical results.
Keywords :
Lyapunov methods; control system synthesis; delays; linear matrix inequalities; neurocontrollers; random noise; synchronisation; LMI approach; Lyapunov method; noise perturbation; projective synchronization control; random noise; time-delay; unknown chaotic neural networks; Adaptive systems; Chaotic communication; Delays; Neural networks; Noise; Synchronization; noise perturbation; projective synchronization; time-delay; unknown chaotic neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975811
Filename :
6975811
Link To Document :
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