These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 28026788)

  • 1. Synchronization of General Chaotic Neural Networks With Nonuniform Sampling and Packet Missing: A Switched System Approach.
    Lu R; Shi P; Su H; Wu ZG; Lu J
    IEEE Trans Neural Netw Learn Syst; 2018 Mar; 29(3):523-533. PubMed ID: 28026788
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Local synchronization of chaotic neural networks with sampled-data and saturating actuators.
    Wu ZG; Shi P; Su H; Chu J
    IEEE Trans Cybern; 2014 Dec; 44(12):2635-45. PubMed ID: 24710840
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exponential Synchronization and L
    Sang H; Zhao J
    IEEE Trans Neural Netw Learn Syst; 2019 Dec; 30(12):3722-3734. PubMed ID: 30802875
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sampled-data synchronization of chaotic Lur'e systems with time delays.
    Wu ZG; Shi P; Su H; Chu J
    IEEE Trans Neural Netw Learn Syst; 2013 Mar; 24(3):410-21. PubMed ID: 24808314
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays.
    Rakkiyappan R; Sakthivel N; Cao J
    Neural Netw; 2015 Jun; 66():46-63. PubMed ID: 25797504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exponential H(infinity) synchronization of general discrete-time chaotic neural networks with or without time delays.
    Qi D; Liu M; Qiu M; Zhang S
    IEEE Trans Neural Netw; 2010 Aug; 21(8):1358-65. PubMed ID: 20601309
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Switched System Approach to Exponential Stabilization of Sampled-Data T-S Fuzzy Systems With Packet Dropouts.
    Wag M; Qiu J; Chadli M; Wang M
    IEEE Trans Cybern; 2016 Dec; 46(12):3145-3156. PubMed ID: 26625439
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach.
    Wang ZP; Wu HN
    IEEE Trans Cybern; 2015 Apr; 45(4):819-29. PubMed ID: 25122848
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Flexible Terminal Approach to Sampled-Data Exponentially Synchronization of Markovian Neural Networks With Time-Varying Delayed Signals.
    Cheng J; Park JH; Karimi HR; Shen H
    IEEE Trans Cybern; 2018 Aug; 48(8):2232-2244. PubMed ID: 28783655
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exponential H∞ synchronization and state estimation for chaotic systems via a unified model.
    Liu M; Zhang S; Fan Z; Zheng S; Sheng W
    IEEE Trans Neural Netw Learn Syst; 2013 Jul; 24(7):1114-26. PubMed ID: 24808525
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stability and synchronization of discrete-time neural networks with switching parameters and time-varying delays.
    Wu L; Feng Z; Lam J
    IEEE Trans Neural Netw Learn Syst; 2013 Dec; 24(12):1957-72. PubMed ID: 24805215
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching.
    Wu Y; Cao J; Li Q; Alsaedi A; Alsaadi FE
    Neural Netw; 2017 Jan; 85():128-139. PubMed ID: 27842241
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimal exponential synchronization of general chaotic delayed neural networks: an LMI approach.
    Liu M
    Neural Netw; 2009 Sep; 22(7):949-57. PubMed ID: 19443178
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sampled-data exponential synchronization of complex dynamical networks with time-varying coupling delay.
    Zheng-Guang Wu ; Peng Shi ; Hongye Su ; Jian Chu
    IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1177-87. PubMed ID: 24808559
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation.
    Shi K; Tang Y; Liu X; Zhong S
    ISA Trans; 2017 Jan; 66():185-199. PubMed ID: 27876279
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Stochastic Sampled-Data Exponential Synchronization of Markovian Jump Neural Networks With Time-Varying Delays.
    Yao L; Wang Z; Huang X; Li Y; Ma Q; Shen H
    IEEE Trans Neural Netw Learn Syst; 2023 Feb; 34(2):909-920. PubMed ID: 34432636
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach.
    Chandrasekar A; Rakkiyappan R; Cao J; Lakshmanan S
    Neural Netw; 2014 Sep; 57():79-93. PubMed ID: 24953308
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantized Sampled-Data Control for Synchronization of Inertial Neural Networks With Heterogeneous Time-Varying Delays.
    Zhang R; Zeng D; Park JH; Liu Y; Zhong S
    IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6385-6395. PubMed ID: 29994336
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rejecting Chaotic Disturbances Using a Super-Exponential-Zeroing Neurodynamic Approach for Synchronization of Chaotic Sensor Systems.
    Chen D; Li S; Wu Q
    Sensors (Basel); 2018 Dec; 19(1):. PubMed ID: 30585244
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exponential Synchronization of Networked Chaotic Delayed Neural Network by a Hybrid Event Trigger Scheme.
    Fei Z; Guan C; Gao H; Zhongyang Fei ; Chaoxu Guan ; Huijun Gao ; Fei Z; Guan C; Gao H
    IEEE Trans Neural Netw Learn Syst; 2018 Jun; 29(6):2558-2567. PubMed ID: 28504952
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.