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Published on: September 21, 2017
Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays
Mingwen Zheng1,2, Lixiang Li3, Haipeng Peng3
1School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Abstract:
This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network model, the model in this paper is more general. A class of general discontinuous feedback controllers are designed. With the help of the definition of fixed-time synchronization, the upper right-hand derivative and a defined simple Lyapunov function, some easily verifiable and extensible synchronization criteria are derived to guarantee the fixed-time synchronization between the drive and response systems. Finally, two numerical simulations are given to verify the correctness of the results.
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