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