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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

414 related items for PubMed ID: 24807137

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7. Online adaptive policy learning algorithm for H∞ state feedback control of unknown affine nonlinear discrete-time systems.
    Zhang H, Qin C, Jiang B, Luo Y.
    IEEE Trans Cybern; 2014 Dec; 44(12):2706-18. PubMed ID: 25095274
    [Abstract] [Full Text] [Related]

  • 8. Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence.
    Dierks T, Thumati BT, Jagannathan S.
    Neural Netw; 2009 Dec; 22(5-6):851-60. PubMed ID: 19596551
    [Abstract] [Full Text] [Related]

  • 9. Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems.
    Liu YJ, Tang L, Tong S, Chen CL, Li DJ.
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):165-76. PubMed ID: 25438326
    [Abstract] [Full Text] [Related]

  • 10. Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems.
    Kiumarsi B, Lewis FL.
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):140-51. PubMed ID: 25312944
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Optimal control of nonlinear continuous-time systems in strict-feedback form.
    Zargarzadeh H, Dierks T, Jagannathan S.
    IEEE Trans Neural Netw Learn Syst; 2015 Oct; 26(10):2535-49. PubMed ID: 26111400
    [Abstract] [Full Text] [Related]

  • 15. Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks.
    Mehraeen S, Dierks T, Jagannathan S, Crow ML.
    IEEE Trans Cybern; 2013 Dec; 43(6):1641-55. PubMed ID: 24273142
    [Abstract] [Full Text] [Related]

  • 16. 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
    [Abstract] [Full Text] [Related]

  • 17. Finite-horizon control-constrained nonlinear optimal control using single network adaptive critics.
    Heydari A, Balakrishnan SN.
    IEEE Trans Neural Netw Learn Syst; 2013 Jan; 24(1):145-57. PubMed ID: 24808214
    [Abstract] [Full Text] [Related]

  • 18. Neural network-based optimal adaptive output feedback control of a helicopter UAV.
    Nodland D, Zargarzadeh H, Jagannathan S.
    IEEE Trans Neural Netw Learn Syst; 2013 Jul; 24(7):1061-73. PubMed ID: 24808521
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.
    Yang X, He H.
    Neural Netw; 2018 Mar; 99():19-30. PubMed ID: 29306801
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 21.