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 *

123 related articles for article (PubMed ID: 34469324)

  • 1. Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity.
    Tao J; Xiao Z; Chen J; Lin M; Lu R; Shi P; Wang X
    IEEE Trans Cybern; 2023 Mar; 53(3):1537-1546. PubMed ID: 34469324
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities.
    Tao J; Xiao Z; Li Z; Wu J; Lu R; Shi P; Wang X
    IEEE Trans Neural Netw Learn Syst; 2022 Dec; 33(12):7438-7447. PubMed ID: 34111013
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Event-triggered dissipative double asynchronous controller for interval type-2 fuzzy semi-Markov jump systems with state quantization and actuator failure.
    Zhang J; Ma Y
    ISA Trans; 2023 Jul; 138():226-242. PubMed ID: 36858934
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Asynchronous Dissipative Control for Fuzzy Markov Jump Systems.
    Wu ZG; Dong S; Su H; Li C
    IEEE Trans Cybern; 2018 Aug; 48(8):2426-2436. PubMed ID: 28858823
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems.
    Tao YY; Wu ZG; Huang T; Chakrabarti P; Ahn CK
    IEEE Trans Cybern; 2023 Nov; 53(11):7342-7352. PubMed ID: 36331644
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Compensation-Based Output Feedback Control for Fuzzy Markov Jump Systems With Random Packet Losses.
    Xue M; Yan H; Zhang H; Zhan X; Shi K
    IEEE Trans Cybern; 2022 Dec; 52(12):12759-12770. PubMed ID: 34375296
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Input-Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate.
    Zhang L; Ning Z; Shi P
    IEEE Trans Cybern; 2015 Nov; 45(11):2449-60. PubMed ID: 26470060
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Event-Triggered Multiasynchronous H
    Zeng P; Deng F; Wu ZH; Zhang T; Gao X
    IEEE Trans Cybern; 2024 Jan; 54(1):476-485. PubMed ID: 37018109
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems.
    Tao J; Xu M; Chen D; Xiao Z; Rao H; Xu Y
    IEEE Trans Cybern; 2023 Dec; 53(12):7834-7843. PubMed ID: 37015602
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two-Dimensional Asynchronous Sliding-Mode Control of Markov Jump Roesser Systems.
    Tao YY; Wu ZG; Guo Y
    IEEE Trans Cybern; 2022 Apr; 52(4):2543-2552. PubMed ID: 32721908
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for T-S Fuzzy Hidden Markov Jump Systems.
    Dong S; Chen CLP; Fang M; Wu ZG
    IEEE Trans Cybern; 2020 Sep; 50(9):4020-4030. PubMed ID: 31329139
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dissipativity-Based Control for Fuzzy Systems With Asynchronous Modes and Intermittent Measurements.
    Dong S; Fang M; Shi P; Wu ZG; Zhang D
    IEEE Trans Cybern; 2020 Jun; 50(6):2389-2399. PubMed ID: 30624238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities.
    Wang Z; Yuan J
    IEEE Trans Cybern; 2022 Jan; 52(1):411-422. PubMed ID: 32248137
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dissipative Asynchronous T-S Fuzzy Control For Singular Semi-Markovian Jump Systems.
    Ma Y; Kong C
    IEEE Trans Cybern; 2022 Jun; 52(6):5454-5463. PubMed ID: 33232255
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Synchronization of Markov Jump Neural Networks With Communication Constraints via Asynchronous Output Feedback Control.
    Tao J; Wu Z; Xiao Z; Rao H; Xu Y; Shi P
    IEEE Trans Neural Netw Learn Syst; 2024 Nov; 35(11):15724-15734. PubMed ID: 37402194
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive Neural Event-Triggered Control of Networked Markov Jump Systems Under Hybrid Cyberattacks.
    Gao X; Deng F; Zeng P; Zhang H
    IEEE Trans Neural Netw Learn Syst; 2023 Mar; 34(3):1502-1512. PubMed ID: 34428162
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Co-Design of Adaptive Event-Triggered Mechanism and Asynchronous H
    Cheng P; Zhang G; Zhang W; He S
    IEEE Trans Cybern; 2023 Sep; 53(9):5729-5740. PubMed ID: 35552148
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dissipativity-based non-fragile sampled-data control design of interval type-2 fuzzy systems subject to random delays.
    Sakthivel R; Karthick SA; Kaviarasan B; Alzahrani F
    ISA Trans; 2018 Dec; 83():154-164. PubMed ID: 30236928
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Asynchronous Control for Discrete-Time Hidden Markov Jump Power Systems.
    KKuppusamy S; Joo YH; Kim HS
    IEEE Trans Cybern; 2022 Sep; 52(9):9943-9948. PubMed ID: 33750729
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.