Regular Papers
International Journal of Control, Automation and Systems 2019; 17(2): 521-535
Published online January 18, 2019
https://doi.org/10.1007/s12555-018-0167-x
© The International Journal of Control, Automation, and Systems
Global Synchronization in Finite-time of Fractional-order Complexvalued Delayed Hopfield Neural Networks
This paper deals with the synchronization issue of fractional-order complex-valued Hopfield neural networks with time delay. In this paper, by means of properties of the fractional-order inequality, such as H¨ older inequality and Gronwall inequality, sufficient conditions are presented to guarantee the finite-time synchronization of the fractional-order complex-valued delayed neural networks when 1=2 g < 1 and 0 Keywords Complex-valued neural networks, finite-time synchronization, fractional-order inequality, time delay.
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Regular Papers
International Journal of Control, Automation and Systems 2019; 17(2): 521-535
Published online February 1, 2019 https://doi.org/10.1007/s12555-018-0167-x
Copyright © The International Journal of Control, Automation, and Systems.
Global Synchronization in Finite-time of Fractional-order Complexvalued Delayed Hopfield Neural Networks
Xinxin Zhang, Peifeng Niu*, Nan Liu, and Guoqiang Li
Yanshan University
Abstract
This paper deals with the synchronization issue of fractional-order complex-valued Hopfield neural networks with time delay. In this paper, by means of properties of the fractional-order inequality, such as H¨ older inequality and Gronwall inequality, sufficient conditions are presented to guarantee the finite-time synchronization of the fractional-order complex-valued delayed neural networks when 1=2 g < 1 and 0 Keywords: Complex-valued neural networks, finite-time synchronization, fractional-order inequality, time delay.
Vol. 22, No. 9, pp. 2673~2953
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