Robust global synchronization of complex networks with neutral-type delayed nodes |
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Authors: | Yijun Zhang Shengyuan Xu Jinjun Lu |
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Affiliation: | a School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China b Department of Mathematics, Huzhou Teacher’s College, Huzhou, Zhejiang 313000, PR China c School of Electrical Engineering, Nantong University, Nantong 226019, PR China d Center of Education and Technology, Nantong Vocational College, Nantong 226007, PR China |
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Abstract: | In this paper, the problems of robust global exponential synchronization for a class of complex networks with time-varying delayed couplings are considered. Each node in the network is composed of a class of delayed neural networks described by a nonlinear delay differential equation of neutral-type. Since model errors commonly exist in practical applications, the parameter uncertainties are involved in the considered model. Sufficient conditions that ensure the complex networks to be robustly globally exponentially synchronized are obtained by using the Lyapunov functional method and some properties of Kronecker product. An illustrative example is presented to show the effectiveness of the proposed approach. |
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Keywords: | Synchronization Complex networks Neural networks Neutral Kronecker product |
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