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 *

168 related articles for article (PubMed ID: 28422698)

  • 1. Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements.
    Lu R; Tao J; Shi P; Su H; Wu ZG; Xu Y
    IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):1888-1899. PubMed ID: 28422698
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Asynchronous and Resilient Filtering for Markovian Jump Neural Networks Subject to Extended Dissipativity.
    Tao J; Wu ZG; Su H; Wu Y; Zhang D
    IEEE Trans Cybern; 2019 Jul; 49(7):2504-2513. PubMed ID: 29993924
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Resilient Asynchronous State Estimation for Markovian Jump Neural Networks Subject to Stochastic Nonlinearities and Sensor Saturations.
    Xu Y; Wu ZG; Pan YJ; Sun J
    IEEE Trans Cybern; 2022 Jul; 52(7):5809-5818. PubMed ID: 33417583
    [TBL] [Abstract][Full Text] [Related]  

  • 4. State Estimation of Discrete-Time Takagi-Sugeno Fuzzy Systems in a Network Environment.
    Zhang H; Wang J
    IEEE Trans Cybern; 2015 Aug; 45(8):1525-36. PubMed ID: 25222966
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Event-Based Dissipative Filtering of Markovian Jump Neural Networks Subject to Incomplete Measurements and Stochastic Cyber-Attacks.
    Xu Y; Wu ZG; Pan YJ
    IEEE Trans Cybern; 2021 Mar; 51(3):1370-1379. PubMed ID: 31689228
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals.
    Lin WJ; He Y; Zhang CK; Wu M; Shen J
    IEEE Trans Neural Netw Learn Syst; 2019 Aug; 30(8):2528-2537. PubMed ID: 30605107
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Event-Triggered Reduced-Order Filtering for Continuous Semi-Markov Jump Systems With Imperfect Measurements.
    Zhang H; Sun H; Qiu X; Yang R; Wang S; Agarwal RK
    IEEE Trans Cybern; 2024 Oct; 54(10):6145-6157. PubMed ID: 39088500
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components.
    Nagamani G; Radhika T; Zhu Q
    IEEE Trans Neural Netw Learn Syst; 2017 Dec; 28(12):3018-3031. PubMed ID: 27740500
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dissipativity-Based Filtering for Switched Genetic Regulatory Networks with Stochastic Disturbances and Time-Varying Delays.
    Yu T; Liu J; Zeng Q; Wu L
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(3):1082-1092. PubMed ID: 31443045
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements.
    Yong Xu ; Renquan Lu ; Hui Peng ; Kan Xie ; Anke Xue
    IEEE Trans Neural Netw Learn Syst; 2017 Feb; 28(2):268-277. PubMed ID: 28055910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Resilient Asynchronous H∞ Filtering for Markov Jump Neural Networks With Unideal Measurements and Multiplicative Noises.
    Zhang L; Zhu Y; Shi P; Zhao Y
    IEEE Trans Cybern; 2015 Dec; 45(12):2840-52. PubMed ID: 25616092
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Non-fragile H∞ filtering for nonlinear discrete-time delay systems with randomly occurring gain variations.
    Liu Y; Park JH; Guo BZ
    ISA Trans; 2016 Jul; 63():196-203. PubMed ID: 27157851
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks.
    Sakthivel R; Kwon OM; Choi SG; Sakthivel R
    Neural Netw; 2023 Aug; 165():611-624. PubMed ID: 37364471
    [TBL] [Abstract][Full Text] [Related]  

  • 14. H∞ filtering for discrete-time genetic regulatory networks with random delays.
    Liu A; Yu L; Zhang WA; Chen B
    Math Biosci; 2012 Sep; 239(1):97-105. PubMed ID: 22652032
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Extended dissipative state estimation for uncertain discrete-time Markov jump neural networks with mixed time delays.
    Li Q; Zhu Q; Zhong S; Zhong F
    ISA Trans; 2017 Jan; 66():200-208. PubMed ID: 27916268
    [TBL] [Abstract][Full Text] [Related]  

  • 16. H∞ mode-dependent fault detection filter design for stochastic Markovian jump systems with time-varying delays and parameter uncertainties.
    Zhuang G; Xia J; Chu Y; Chen F
    ISA Trans; 2014 Jul; 53(4):1024-34. PubMed ID: 24929630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays.
    Wang J; Zhang XM; Han QL
    IEEE Trans Neural Netw Learn Syst; 2016 Jan; 27(1):77-88. PubMed ID: 26699897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Resilient asynchronous state estimation of Markov switching neural networks: A hierarchical structure approach.
    Cheng J; Wu Y; Xiong L; Cao J; Park JH
    Neural Netw; 2021 Mar; 135():29-37. PubMed ID: 33341512
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dissipativity-Based Reliable Control for Fuzzy Markov Jump Systems With Actuator Faults.
    Tao J; Lu R; Shi P; Su H; Wu ZG
    IEEE Trans Cybern; 2017 Sep; 47(9):2377-2388. PubMed ID: 27392368
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fuzzy Filtering With Randomly Occurring Parameter Uncertainties, Interval Delays, and Channel Fadings.
    Zhang S; Wang Z; Ding D; Shu H
    IEEE Trans Cybern; 2014 Mar; 44(3):406-17. PubMed ID: 23934674
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.