Exponential synchronization of memristor-based recurrent neural networks with time delays

Authors:
Ailong Wu;Zhigang Zeng;Xusheng Zhu;Jine Zhang
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Image Processing and Intelligent Control of Education Minist ...;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China and Key Laboratory of Image Processing and Intelligent Control of Education Minist ...;School of Basic Science, East China Jiaotong University, Nanchang 330013, China;School of Basic Science, East China Jiaotong University, Nanchang 330013, China
Venue:
Neurocomputing
Year:
2011

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Abstract

In this paper, the synchronization control of a general class of memristor-based recurrent neural networks with time delays is investigated. A delay-dependent feedback controller is derived to achieve the exponential synchronization based on the drive-response concept, linear matrix inequalities (LMIs) and Lyapunov functional method. Finally, a numerical example is given to illustrate the derived theoretical results.