Cheng HuSummaryCountry: China Publications
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Publications
 Exponential synchronization of complex networks with finite distributed delays couplingCheng Hu
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
IEEE Trans Neural Netw 22:19992010. 2011..Additionally, the traditional assumptions on control width, noncontrol width, and discrete delays are removed in our results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control method...  αstability and αsynchronization for fractionalorder neural networksJuan Yu
College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang, PR China
Neural Netw 35:827. 2012..Besides, the synchronization of fractional chaotic networks is also proposed. Finally, several examples with numerical simulations are given to show the effectiveness of the obtained results...  Projective synchronization for fractional neural networksJuan Yu
College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China Electronic address
Neural Netw 49:8795. 2014..Finally, an example with numerical simulations is given to show the effectiveness of the obtained results. ..  Exponential synchronization for reactiondiffusion networks with mixed delays in terms of pnorm via intermittent drivingCheng Hu
College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China
Neural Netw 31:111. 2012..Finally, a reactiondiffusion chaotic network is given to demonstrate the effectiveness of the proposed control methods...  Impulsive control and synchronization for delayed neural networks with reactiondiffusion termsCheng Hu
the College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
IEEE Trans Neural Netw 21:6781. 2010..Finally, some numerical examples are given to demonstrate the effectiveness of the proposed control methods...  Existence and global exponential stability of periodic solution of memristorbased BAM neural networks with timevarying delaysHongfei Li
College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
Neural Netw 75:97109. 2016..The obtained results expand and complement some previous work on memristorbased BAM neural networks. Finally, a numerical example is provided to show the applicability and effectiveness of our theoretical results. ..  Convergence behavior of delayed discrete cellular neural network without periodic coefficientsJinling Wang
College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
Neural Netw 53:618. 2014..Finally, some examples showing the effectiveness of the provided criterion are given. ..