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 *

175 related articles for article (PubMed ID: 36080819)

  • 1. Comparison of Deep Learning and Deterministic Algorithms for Control Modeling.
    Zhai H; Sands T
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080819
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On the Design of Hyperstable Feedback Controllers for a Class of Parameterized Nonlinearities. Two Application Examples for Controlling Epidemic Models.
    De la Sen M
    Int J Environ Res Public Health; 2019 Jul; 16(15):. PubMed ID: 31357623
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust adaptive controller design for a class of uncertain nonlinear systems using online T-S fuzzy-neural modeling approach.
    Chien YH; Wang WY; Leu YG; Lee TT
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):542-52. PubMed ID: 20858584
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
    Liu Y; Cai L; Chen Y; Wang B
    Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder.
    Alwan NAS; Hussain ZM
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015696
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Neural-network-based state feedback control of a nonlinear discrete-time system in nonstrict feedback form.
    Jagannathan S; He P
    IEEE Trans Neural Netw; 2008 Dec; 19(12):2073-87. PubMed ID: 19054732
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence.
    Wilt E; Sands T
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433317
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fuzzy controller training using particle swarm optimization for nonlinear system control.
    Karakuzu C
    ISA Trans; 2008 Apr; 47(2):229-39. PubMed ID: 17976603
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deterministic learning-based neural network control with adaptive phase compensation.
    Fei Y; Li D; Li Y; Li J
    Neural Netw; 2023 Mar; 160():175-191. PubMed ID: 36657331
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust adaptive control for a class of uncertain nonlinear systems with time-varying delay.
    Wang R; Li J; Zhang S; Gao D; Sun H
    ScientificWorldJournal; 2013; 2013():963986. PubMed ID: 23853544
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adaptive output feedback tracking control for a class of uncertain nonlinear systems using neural networks.
    Chang YC; Yen HM
    IEEE Trans Syst Man Cybern B Cybern; 2005 Dec; 35(6):1311-6. PubMed ID: 16366255
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hybrid feedback feedforward: An efficient design of adaptive neural network control.
    Pan Y; Liu Y; Xu B; Yu H
    Neural Netw; 2016 Apr; 76():122-134. PubMed ID: 26890657
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combined feedforward and feedback control of a redundant, nonlinear, dynamic musculoskeletal system.
    Blana D; Kirsch RF; Chadwick EK
    Med Biol Eng Comput; 2009 May; 47(5):533-42. PubMed ID: 19343388
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimal neurocontroller synthesis for impulse-driven systems.
    Wang X; Balakrishnan SN
    Neural Netw; 2010 Jan; 23(1):125-34. PubMed ID: 19766445
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions.
    Li T; Li Z; Wang D; Chen CL
    IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1188-201. PubMed ID: 25069123
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Designing a robust minimum variance controller using discrete slide mode controller approach.
    Alipouri Y; Poshtan J
    ISA Trans; 2013 Mar; 52(2):291-9. PubMed ID: 23174280
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Global output feedback control for a class of high-order feedforward nonlinear systems with input delay.
    Zha W; Zhai J; Fei S
    ISA Trans; 2013 Jul; 52(4):494-500. PubMed ID: 23664204
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios.
    Wong HS; Chan WX; Li BH; Yap CH
    Sci Rep; 2024 May; 14(1):11577. PubMed ID: 38773243
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer.
    Zhang R; Xu B; Shi P
    IEEE Trans Neural Netw Learn Syst; 2022 Mar; 33(3):962-972. PubMed ID: 33119514
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fault-tolerant nonlinear adaptive flight control using sliding mode online learning.
    Krüger T; Schnetter P; Placzek R; Vörsmann P
    Neural Netw; 2012 Aug; 32():267-74. PubMed ID: 22386784
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.