Cheng Hu

Summary

Country: China

Publications

  1. doi request reprint Exponential synchronization of complex networks with finite distributed delays coupling
    Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
    IEEE Trans Neural Netw 22:1999-2010. 2011
  2. doi request reprint α-stability and α-synchronization for fractional-order neural networks
    Juan Yu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang, PR China
    Neural Netw 35:82-7. 2012
  3. doi request reprint Projective synchronization for fractional neural networks
    Juan Yu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China Electronic address
    Neural Netw 49:87-95. 2014
  4. doi request reprint Exponential synchronization for reaction-diffusion networks with mixed delays in terms of p-norm via intermittent driving
    Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China
    Neural Netw 31:1-11. 2012
  5. doi request reprint Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
    Cheng Hu
    the College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
    IEEE Trans Neural Netw 21:67-81. 2010
  6. doi request reprint Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays
    Hongfei Li
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
    Neural Netw 75:97-109. 2016
  7. doi request reprint Convergence behavior of delayed discrete cellular neural network without periodic coefficients
    Jinling Wang
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
    Neural Netw 53:61-8. 2014

Collaborators

Detail Information

Publications7

  1. doi request reprint Exponential synchronization of complex networks with finite distributed delays coupling
    Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
    IEEE Trans Neural Netw 22:1999-2010. 2011
    ..Additionally, the traditional assumptions on control width, non-control width, and discrete delays are removed in our results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control method...
  2. doi request reprint α-stability and α-synchronization for fractional-order neural networks
    Juan Yu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang, PR China
    Neural Netw 35:82-7. 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...
  3. doi request reprint Projective synchronization for fractional neural networks
    Juan Yu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China Electronic address
    Neural Netw 49:87-95. 2014
    ..Finally, an example with numerical simulations is given to show the effectiveness of the obtained results. ..
  4. doi request reprint Exponential synchronization for reaction-diffusion networks with mixed delays in terms of p-norm via intermittent driving
    Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China
    Neural Netw 31:1-11. 2012
    ..Finally, a reaction-diffusion chaotic network is given to demonstrate the effectiveness of the proposed control methods...
  5. doi request reprint Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
    Cheng Hu
    the College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
    IEEE Trans Neural Netw 21:67-81. 2010
    ..Finally, some numerical examples are given to demonstrate the effectiveness of the proposed control methods...
  6. doi request reprint Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays
    Hongfei Li
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
    Neural Netw 75:97-109. 2016
    ..The obtained results expand and complement some previous work on memristor-based BAM neural networks. Finally, a numerical example is provided to show the applicability and effectiveness of our theoretical results. ..
  7. doi request reprint Convergence behavior of delayed discrete cellular neural network without periodic coefficients
    Jinling Wang
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China
    Neural Netw 53:61-8. 2014
    ..Finally, some examples showing the effectiveness of the provided criterion are given. ..