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 *

123 related articles for article (PubMed ID: 21874087)

  • 1. Model-on-Demand Predictive Control for Nonlinear Hybrid Systems With Application to Adaptive Behavioral Interventions.
    Nandola NN; Rivera DE
    Proc IEEE Conf Decis Control; 2011 Feb; 2010():6113-6118. PubMed ID: 21874087
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems.
    Nandola NN; Rivera DE
    IEEE Trans Control Syst Technol; 2013 Jan; 21(1):. PubMed ID: 24348004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Novel Model Predictive Control Formulation for Hybrid Systems With Application to Adaptive Behavioral Interventions.
    Nandola NN; Rivera DE
    Proc Am Control Conf; 2010 Jun; 2010():6286-6292. PubMed ID: 20830213
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity.
    Khan O; El Mistiri M; Rivera DE; Martin CA; Hekler E
    Proc IEEE Conf Decis Control; 2022 Dec; 2022():2586-2593. PubMed ID: 36935862
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health.
    Zafra-Cabeza A; Rivera DE; Collins LM; Ridao MA; Camacho EF
    IEEE Trans Control Syst Technol; 2011 Jul; 19(4):891-901. PubMed ID: 21643450
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control: illustration with
    Cevallos D; Martín CA; Mistiri ME; Rivera DE; Hekler E
    Rev Iberoam Autom Informa Ind; 2022 Jun; 19(3):297-308. PubMed ID: 36061621
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimizing Behavioral Interventions to Regulate Gestational Weight Gain With Sequential Decision Policies Using Hybrid Model Predictive Control.
    Guo P; Rivera DE; Dong Y; Deshpande S; Savage JS; Hohman EE; Pauley AM; Leonard KS; Downs DS
    Comput Chem Eng; 2022 Apr; 160():. PubMed ID: 35342207
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation.
    Kha RT; Rivera DE; Klasnja P; Hekler E
    Proc Am Control Conf; 2022 Jun; 2022():671-676. PubMed ID: 36340266
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.
    Dong Y; Deshpande S; Rivera DE; Downs DS; Savage JS
    Proc Am Control Conf; 2014 Jun; 2014():4198-4203. PubMed ID: 25635157
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming.
    Dong L; Yan J; Yuan X; He H; Sun C
    IEEE Trans Cybern; 2019 Dec; 49(12):4206-4218. PubMed ID: 30130246
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems.
    Zhang Y; Chai T; Wang D
    IEEE Trans Neural Netw Learn Syst; 2017 Jul; 28(7):1606-1617. PubMed ID: 27093711
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach.
    Wang M; Lou X; Wu W; Cui B
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3630-3639. PubMed ID: 35969545
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nonlinear predictive control for Hammerstein-Wiener systems.
    Ławryńczuk M
    ISA Trans; 2015 Mar; 55():49-62. PubMed ID: 25451816
    [TBL] [Abstract][Full Text] [Related]  

  • 14. System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity.
    El Mistiri M; Khan O; Rivera DE; Hekler E
    Proc Am Control Conf; 2023; 2023():2240-2245. PubMed ID: 37426035
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predictive control of nonlinear systems based on identification by backpropagation networks.
    Hao J; Vandewalle J; Tan S
    Int J Neural Syst; 1994 Dec; 5(4):335-44. PubMed ID: 7711964
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Decentralized Feedback Controllers for Robust Stabilization of Periodic Orbits of Hybrid Systems: Application to Bipedal Walking.
    Hamed KA; Gregg RD
    IEEE Trans Control Syst Technol; 2017 Jul; 25(4):1153-1167. PubMed ID: 28959117
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Offset-free ARX-based adaptive model predictive control applied to a nonlinear process.
    Perez A; Yang Y
    ISA Trans; 2022 Apr; 123():251-262. PubMed ID: 34092387
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adaptive Practical Nonlinear Model Predictive Control for Echo State Network Models.
    Schwedersky BB; Flesch RCC; Rovea SB
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2605-2614. PubMed ID: 34495851
    [TBL] [Abstract][Full Text] [Related]  

  • 19. HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.
    Kim J; Kasabov N
    Neural Netw; 1999 Nov; 12(9):1301-1319. PubMed ID: 12662634
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling.
    Gan Q; Harris CJ
    IEEE Trans Neural Netw; 2001; 12(1):43-53. PubMed ID: 18244362
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.