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 *

179 related articles for article (PubMed ID: 32639935)

  • 1. Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions.
    Wen G; Chen CLP; Ge SS
    IEEE Trans Cybern; 2021 Sep; 51(9):4567-4580. PubMed ID: 32639935
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems.
    Wen G; Xu L; Li B
    IEEE Trans Neural Netw Learn Syst; 2023 Mar; 34(3):1291-1303. PubMed ID: 34437076
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimized Backstepping Consensus Control Using Reinforcement Learning for a Class of Nonlinear Strict-Feedback-Dynamic Multi-Agent Systems.
    Wen G; Chen CLP
    IEEE Trans Neural Netw Learn Syst; 2023 Mar; 34(3):1524-1536. PubMed ID: 34460397
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive Tracking Control of Surface Vessel Using Optimized Backstepping Technique.
    Wen G; Ge SS; Chen CLP; Tu F; Wang S
    IEEE Trans Cybern; 2019 Sep; 49(9):3420-3431. PubMed ID: 29994688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimized Backstepping for Tracking Control of Strict-Feedback Systems.
    Wen G; Ge SS; Tu F
    IEEE Trans Neural Netw Learn Syst; 2018 Aug; 29(8):3850-3862. PubMed ID: 29993615
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Backstepping-based adaptive predictive optimal control of nonlinear systems with application to missile-target engagement.
    Sun J; Liu C
    ISA Trans; 2018 Dec; 83():42-52. PubMed ID: 30144978
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints.
    Li Y; Zhang J; Liu W; Tong S
    IEEE Trans Neural Netw Learn Syst; 2022 Dec; 33(12):7791-7805. PubMed ID: 34161246
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping.
    Zhang Y; Liang X; Li D; Ge SS; Gao B; Chen H; Lee TH
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2066-2080. PubMed ID: 35820012
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive Optimal Tracking Control of an Underactuated Surface Vessel Using Actor-Critic Reinforcement Learning.
    Chen L; Dai SL; Dong C
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7520-7533. PubMed ID: 36449582
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique.
    Liu Y; Zhu Q; Wen G
    IEEE Trans Neural Netw Learn Syst; 2022 Feb; 33(2):853-865. PubMed ID: 33108296
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adaptive optimal trajectory tracking control of AUVs based on reinforcement learning.
    Li Z; Wang M; Ma G
    ISA Trans; 2023 Jun; 137():122-132. PubMed ID: 36522214
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hierarchical Sliding-Mode Surface-Based Adaptive Actor-Critic Optimal Control for Switched Nonlinear Systems With Unknown Perturbation.
    Zhang H; Zhao X; Wang H; Zong G; Xu N
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):1559-1571. PubMed ID: 35834452
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application.
    Li Y; Fan Y; Li K; Liu W; Tong S
    IEEE Trans Cybern; 2022 Oct; 52(10):10542-10555. PubMed ID: 33872177
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive-Critic Design for Decentralized Event-Triggered Control of Constrained Nonlinear Interconnected Systems Within an Identifier-Critic Framework.
    Huo X; Karimi HR; Zhao X; Wang B; Zong G
    IEEE Trans Cybern; 2022 Aug; 52(8):7478-7491. PubMed ID: 33400659
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning.
    Long J; Yu D; Wen G; Li L; Wang Z; Chen CLP
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35657844
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints.
    Li Y; Liu Y; Tong S
    IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3131-3145. PubMed ID: 33497342
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decentralized Event-Triggered Control for a Class of Nonlinear-Interconnected Systems Using Reinforcement Learning.
    Yang X; He H
    IEEE Trans Cybern; 2021 Feb; 51(2):635-648. PubMed ID: 31670691
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions.
    Luo R; Peng Z; Hu J; Ghosh BK
    Neural Netw; 2023 Oct; 167():588-600. PubMed ID: 37703669
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reinforcement learning in continuous time and space.
    Doya K
    Neural Comput; 2000 Jan; 12(1):219-45. PubMed ID: 10636940
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.