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  1. 1961

    Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method by Longge Zhang

    Published 2013-01-01
    “…Two automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints. …”
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    Article
  2. 1962

    A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning by Kailai Li, Junyi Liang, Nan Li, Jianbo Fang, Xinyi Zhou, Jian Zhang, Anqi Lin, Peng Luo, Hui Meng

    Published 2025-06-01
    “…This study developed the nasopharyngeal carcinoma radiotherapy sensitivity score (NPC-RSS) to predict radiotherapy response. By evaluating 113 machine learning algorithm combinations, the glmBoost+NaiveBayes model was selected to construct the NPC-RSS based on 18 key genes, which demonstrated good predictive performance in both public and in-house datasets. …”
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    Article
  3. 1963

    A Muscle-Driven Spine Model for Predictive Simulations in the Design of Spinal Implants and Lumbar Orthoses by Robin Remus, Andreas Lipphaus, Marisa Ritter, Marc Neumann, Beate Bender

    Published 2025-03-01
    “…The muscle forces contributing to spinal movement and stabilization were also reliably predicted. This new type of modeling enables the biomechanical study of the interactions between active and passive spinal structures and technical systems. …”
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    Article
  4. 1964

    Dual Quaternion Based Close Proximity Operation for In-Orbit Assembly via Model Predictive Control by Chuqi Sun, Yan Xiao, Zhaowei Sun, Dong Ye

    Published 2021-01-01
    “…With the consideration of economical principle for fuel consume, a generic control system based on model predictive control (MPC) is then designed to generate a suboptimal control sequence for rendezvous trajectory considering actuator output saturation. …”
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    Article
  5. 1965

    Speed Control of PMSM drive using Model Predictive Control Based Field Oriented Control by Sri Charan Vanamala, Kiran Kumar Danduprolu

    Published 2025-03-01
    “… This paper examines the enhancement of Permanent Magnet Synchronous Motor (PMSM) drives through the integration of Field-Oriented Control (FOC) with Model Predictive Control (MPC). The study aims to achieve high precision and dynamic response for PMSM drives under diverse operating conditions. …”
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    Article
  6. 1966
  7. 1967
  8. 1968

    Recurrent Neural Network-Based Model Predictive Control for Multiple Unmanned Quadrotor Formation Flight by Boyang Zhang, Xiuxia Sun, Shuguang Liu, Xiongfeng Deng

    Published 2019-01-01
    “…This paper presents a dynamical recurrent neural network- (RNN-) based model predictive control (MPC) structure for the formation flight of multiple unmanned quadrotors. …”
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    Article
  9. 1969

    Actual and Predictive Transport Modeling of Fluoride Contamination of the Sfax-Agareb Coastal Aquifer in the Mediterranean Basin by Samira Melki, Amina Mabrouk El Asmi, Mohamadou Ould Baba Sy, Moncef Gueddari

    Published 2020-01-01
    “…This study, using numerical modeling, gives new insights for short- and medium-term prediction of eventual fluoride concentrations in the saturated zone of the Sfax-Agareb aquifer.…”
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    Article
  10. 1970

    Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts by Deyin Yao, Hamid Reza Karimi, Yiyong Sun, Qing Lu

    Published 2014-01-01
    “…This paper deals with the problem of robust model predictive control (RMPC) for a class of linear time-varying systems with constraints and data losses. …”
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    Article
  11. 1971

    Examining the Impact of Self-concept on Adolescents’ Self-regulated Learning: A Predictive Modeling Approach by Patricia Ayllón-Salas, José L. Arco-Tirado, Francisco D. Fernández-Martín

    Published 2025-01-01
    “…Therefore, the constructed models explained 15% and 18% of the variance in affective motivation and value motivation, respectively. …”
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    Article
  12. 1972
  13. 1973
  14. 1974

    Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach by Hisham Ibrahim, Ahmed M. Ali, Tamer Attia

    Published 2025-01-01
    “…IntroductionThis study explores the optimization of Electric Bus (EB) performance by integrating predictive maintenance strategies, utilizing real-time data and advanced modeling techniques.MethodsThe study involves installing measurement sensors to capture dynamic behavior and energy consumption during actual road trips, analyzing the collected data to refine vehicle dynamics models and assess battery degradation under various operational conditions, and employing a multi-objective optimization framework to minimize battery degradation while ensuring efficient energy use and maintaining operational requirements.Results and DiscussionThe study offers valuable insights into battery management strategies, revealing that battery degradation can be reduced by 25% through optimum driving behavior, which can be achieved in real driving conditions by avoiding aggressive driving. …”
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    Article
  15. 1975

    Predictive Modeling of Climate-Driven Crop Yield Variability Using DSSAT Towards Sustainable Agriculture by Safa E. El-Mahroug, Ayman A. Suleiman, Mutaz M. Zoubi, Saif Al-Omari, Qusay Y. Abu-Afifeh, Heba F. Al-Jawaldeh, Yazan A. Alta’any, Tariq M. F. Al-Nawaiseh, Nisreen Obeidat, Shahed H. Alsoud, Areen M. Alshoshan, Fayha M. Al-Shibli, Rakad Ta’any

    Published 2025-05-01
    “…These findings emphasize the value of integrating well-calibrated crop models with climate projections and machine learning tools to support climate-resilient agricultural planning. …”
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    Article
  16. 1976
  17. 1977

    Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders by Alice Cassemiro, Lara Jansiski Motta, Paulo Fiadeiro, Elsa Fonseca

    Published 2024-11-01
    “…The simulations were used to train a machine learning predictive model aimed at accelerating the treatment planning stage and assessing the importance of patient-specific parameters. …”
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    Article
  18. 1978
  19. 1979

    A predictive in vitro model of the impact of drugs with anticholinergic properties on human neuronal and astrocytic systems. by Elizabeth K Woehrling, H Rheinallt Parri, Erin H Y Tse, Eric J Hill, Ian D Maidment, G Christopher Fox, Michael D Coleman

    Published 2015-01-01
    “…We aimed to determine whether a relevant in vitro model may aid the identification of anticholinergic responses to drugs and the prediction of anticholinergic risk during polypharmacy. …”
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    Article
  20. 1980