学术报告第201866期

报告题目：Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks

报 告 人：Rajan Rakkiyappan 教授（Bharathiar University, India）

报告时间：2018年12月22日上午9:30至10:30

报告地点：南一楼中311

摘要： In this talk, impulsive synchronization of stochastic memristor-based recurrent neural networks with time delay is studied. One can find that the memristive connection weights have a certain relationship with the stability of the system. Based on the drive-response concept, the differential inclusions theory and the Lyapunov functional method with the impulsive delay differential inequality technique was established to guarantee the impulsive synchronization of memristor-based recurrent neural networks with stochastic effects. The obtained sufficient conditions can be checked easily by Linear Matrix inequalities (LMI) Control Toolbox in MATLAB. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.

简介：Rakkiyappan Rajan was an undergraduate student in the field of Mathematics during 1999–2002 from Sri Ramakrishna Mission Vidyalaya College of Arts and Science and a postgraduate in Mathematics from PSG College of Arts and Science affiliated to Bharathiar University, Coimbatore, Tamil Nadu, India from 2002–2004. He was awarded his Doctor of Philosophy in the year 2011 from the Department of Mathematics, Gandhigram Rural University, Gandhigram, Tamil Nadu, India. Presently, he is with Department of Mathematics, Bharathiar University, Coimbatore. He has visited as a Research Professor the Research Center for Wind Energy Systems, Kunsan National University, from June-2017 to May-2018. His research interests include stochastic and impulsive systems, neural networks, Memristors in Mathematical perspectives, complex systems, and fractional order systems. To his credit, he has published more than 175 papers in international journals.