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Exponential synchronization of memristor-based recurrent neural networks with time delays
Authors:Ailong WuAuthor Vitae  Zhigang ZengAuthor Vitae  Xusheng ZhuAuthor VitaeJine ZhangAuthor Vitae
Affiliation:a Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
b Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China
c School of Basic Science, East China Jiaotong University, Nanchang 330013, China
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.
Keywords:Memristor   Circuit analysis   Recurrent neural networks   Synchronization control
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