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 *

205 related articles for article (PubMed ID: 28362618)

  • 21. Quantization-Based Adaptive Actor-Critic Tracking Control With Tracking Error Constraints.
    Fan QY; Yang GH; Ye D
    IEEE Trans Neural Netw Learn Syst; 2018 Apr; 29(4):970-980. PubMed ID: 28166508
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities.
    Chen M; Ge SS; How BV
    IEEE Trans Neural Netw; 2010 May; 21(5):796-812. PubMed ID: 20236884
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Learning from neural control.
    Wang C; Hill DJ
    IEEE Trans Neural Netw; 2006 Jan; 17(1):130-46. PubMed ID: 16526482
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Fuzzy-neural-network inherited sliding-mode control for robot manipulator including actuator dynamics.
    Wai RJ; Muthusamy R
    IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):274-87. PubMed ID: 24808281
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.
    Peng G; Chen CLP; Yang C
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4551-4561. PubMed ID: 33651696
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Design of adaptive fuzzy wavelet neural sliding mode controller for uncertain nonlinear systems.
    Shahriari kahkeshi M; Sheikholeslam F; Zekri M
    ISA Trans; 2013 May; 52(3):342-50. PubMed ID: 23453235
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Adaptive Fuzzy Output Constrained Control Design for Multi-Input Multioutput Stochastic Nonstrict-Feedback Nonlinear Systems.
    Li Y; Tong S
    IEEE Trans Cybern; 2017 Dec; 47(12):4086-4095. PubMed ID: 27576273
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Fixed-Time Recurrent NN Learning Control of Uncertain Robotic Manipulators with Time-Varying Constraints: Experimental Verification.
    Shi Q; Li C; He R; Zhu X; Duan X
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420780
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Recurrent fuzzy neural network backstepping control for the prescribed output tracking performance of nonlinear dynamic systems.
    Han SI; Lee JM
    ISA Trans; 2014 Jan; 53(1):33-43. PubMed ID: 24055100
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Full-state tracking control of a mobile robot using neural networks.
    Chaitanya VS
    Int J Neural Syst; 2005 Oct; 15(5):403-14. PubMed ID: 16278944
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules.
    Roveda L; Haghshenas S; Caimmi M; Pedrocchi N; Molinari Tosatti L
    Front Robot AI; 2019; 6():75. PubMed ID: 33501090
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Adaptive Interaction Control of Compliant Robots Using Impedance Learning.
    Sun T; Yang J
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560108
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Composite learning from adaptive backstepping neural network control.
    Pan Y; Sun T; Liu Y; Yu H
    Neural Netw; 2017 Nov; 95():134-142. PubMed ID: 28942282
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Adaptive Fuzzy Output-Constrained Fault-Tolerant Control of Nonlinear Stochastic Large-Scale Systems With Actuator Faults.
    Li Y; Ma Z; Tong S
    IEEE Trans Cybern; 2017 Sep; 47(9):2362-2376. PubMed ID: 28368838
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Self-organizing adaptive fuzzy neural control for a class of nonlinear systems.
    Hsu CF
    IEEE Trans Neural Netw; 2007 Jul; 18(4):1232-41. PubMed ID: 17668674
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints.
    Kang E; Qiao H; Gao J; Yang W
    ISA Trans; 2021 Mar; 109():89-101. PubMed ID: 33616059
    [TBL] [Abstract][Full Text] [Related]  

  • 38. H(infinity) tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach.
    Wang WY; Chan ML; Hsu CJ; Lee TT
    IEEE Trans Syst Man Cybern B Cybern; 2002; 32(4):483-92. PubMed ID: 18238144
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Dynamic learning from adaptive neural network control of a class of nonaffine nonlinear systems.
    Dai SL; Wang C; Wang M
    IEEE Trans Neural Netw Learn Syst; 2014 Jan; 25(1):111-23. PubMed ID: 24806648
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning.
    Yang X; Liu D; Wang D; Wei Q
    Neural Netw; 2014 Jul; 55():30-41. PubMed ID: 24721223
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.