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 *

224 related articles for article (PubMed ID: 26285220)

  • 1. Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming.
    Sahoo A; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2016 Sep; 27(9):1801-15. PubMed ID: 26285220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming.
    Sahoo A; Jagannathan S
    IEEE Trans Cybern; 2017 Feb; 47(2):425-438. PubMed ID: 26891488
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming.
    Sahoo A; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2017 Mar; 28(3):639-652. PubMed ID: 27071196
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems.
    Sahoo A; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2016 Jan; 27(1):151-64. PubMed ID: 26513802
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
    Dong L; Zhong X; Sun C; He H
    IEEE Trans Neural Netw Learn Syst; 2017 Jul; 28(7):1594-1605. PubMed ID: 27071197
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stochastic optimal controller design for uncertain nonlinear networked control system via neuro dynamic programming.
    Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2013 Mar; 24(3):471-84. PubMed ID: 24808319
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems.
    Sahoo A; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2016 Mar; 27(3):497-509. PubMed ID: 25879975
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neural network-based finite-horizon optimal control of uncertain affine nonlinear discrete-time systems.
    Zhao Q; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):486-99. PubMed ID: 25720005
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic Event-Based Control for Stochastic Optimal Regulation of Nonlinear Networked Control Systems.
    Ming Z; Zhang H; Luo Y; Wang W
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7299-7308. PubMed ID: 35038299
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks.
    Yang Q; Vance JB; Jagannathan S
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Online optimal control of affine nonlinear discrete-time systems with unknown internal dynamics by using time-based policy update.
    Dierks T; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1118-29. PubMed ID: 24807137
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reinforcement-learning-based dual-control methodology for complex nonlinear discrete-time systems with application to spark engine EGR operation.
    Shih P; Kaul BC; Jagannathan S; Drallmeier JA
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1369-88. PubMed ID: 18701368
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reinforcement learning controller design for affine nonlinear discrete-time systems using online approximators.
    Yang Q; Jagannathan S
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):377-90. PubMed ID: 21947529
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration.
    Narayanan V; Jagannathan S
    IEEE Trans Cybern; 2018 Sep; 48(9):2510-2519. PubMed ID: 28885167
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
    Dong L; Zhong X; Sun C; He H
    IEEE Trans Neural Netw Learn Syst; 2017 Aug; 28(8):1941-1952. PubMed ID: 28113603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neural-Network-Based Consensus Control for Multiagent Systems With Input Constraints: The Event-Triggered Case.
    Ding D; Wang Z; Han QL
    IEEE Trans Cybern; 2020 Aug; 50(8):3719-3730. PubMed ID: 31329155
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Neural network-based finite horizon stochastic optimal control design for nonlinear networked control systems.
    Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):472-85. PubMed ID: 25720004
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adaptive optimal control of unknown constrained-input systems using policy iteration and neural networks.
    Modares H; Lewis FL; Naghibi-Sistani MB
    IEEE Trans Neural Netw Learn Syst; 2013 Oct; 24(10):1513-25. PubMed ID: 24808590
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays.
    Moghadam R; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; 34(6):3195-3204. PubMed ID: 34587097
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.
    Wang M; Wang Z; Chen Y; Sheng W
    IEEE Trans Cybern; 2020 Jul; 50(7):2946-2958. PubMed ID: 31329140
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.