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  1. 361
  2. 362

    Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control by You Lv, Hao Sun, Bin Wu, Yijun Shi, Fang Fang

    Published 2025-07-01
    “…Subsequently, a power adaptive allocation strategy is formulated with nonlinear signal decomposition techniques, enabling adaptive power distribution between TPUs and CAES. Furthermore, a control strategy utilizing model predictive control (MPC) is proposed, taking into account the state of charge (SOC) of CAES, to refine the energy charge and discharge process. …”
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    Article
  3. 363

    MPC based frequency control of an autonomous microgrid integrated with electric vehicles by Abdullahi Bala Kunya, Muhamad M. Mundu, Aminu Babangida, Péter Tamás Szemes

    Published 2025-06-01
    “…Then, a finite horizon model predictive control (MPC) is applied for the LFC of a two-area islanded MG integrated with the EV charging station. …”
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  4. 364

    Laguerre-Based Frequency-Limited Balanced Truncation of Discrete-Time Systems by Zhou Song, Qiu-Yan Song, Umair Zulfiqar

    Published 2025-01-01
    “…This paper introduces a novel model order reduction (MOR) method for linear discrete-time systems, focusing on frequency-limited balanced truncation (BT) techniques. …”
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    Article
  5. 365

    Development of An Optimal Low-Noise Voice-Coil Actuator for Precision Motion Control Applications by Suorena Saeedi, Ali Sadighi, Masoud Shariat Panahi

    Published 2024-03-01
    “…On the other hand, developing a model that captures the nonlinear features of actuator dynamics is essential for advancing high-performance controllers. …”
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    Article
  6. 366

    Energy-Efficient Battery Thermal Management in Electric Vehicles Using Artificial-Neural-Network-Based Model Predictive Control by Kiheon Nam, Changsun Ahn

    Published 2025-05-01
    “…This study presents a Model Predictive Control (MPC) strategy for the Battery Thermal Management System (BTMS) in electric vehicles (EVs) to optimize energy efficiency while maintaining battery temperature within the optimal range. …”
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    Article
  7. 367

    A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control by Gilljong Shin, Seongjin Yun, Won-Tae Kim

    Published 2024-01-01
    “…Deep reinforcement learning is more promising technology to support the dynamic factory situations than the legacy static robot control technologies are. The machine learning model experiences the computing resource limitation of industrial robots working the complex jobs of intelligent operations including machine vision, action planning and human collaborations. …”
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  8. 368
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    The Epidemiological Impact of Community-Based Skin Camps on Leprosy Control in East Hararghe Zone, Ethiopia: a Modelling Study by Thomas Hambridge, David J. Blok, Ephrem Mamo, Jan Hendrik Richardus, Sake J. de Vlas

    Published 2025-03-01
    “…The mainstay of leprosy control has been early detection and treatment through active case finding. …”
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  10. 370
  11. 371

    Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound by Muhammad Latif, Hira Ambreen, Tang Diyin, Farrukh Hassan, Muhammad Imran, Saddam Hussain Abbasi, Muhammad Imran

    Published 2025-01-01
    “…The focal point of this work is the reduction of model order in wind turbines featuring a double-fed induction generator with time-varying rotational speeds. …”
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    Article
  12. 372

    A sensory-motor control model of animal flight explains why bats fly differently in light versus dark. by Nadav S Bar, Sigurd Skogestad, Jose M Marçal, Nachum Ulanovsky, Yossi Yovel

    Published 2015-01-01
    “…Here we developed a sensorimotor control model that explains vertebrate flight guidance with high fidelity. …”
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  13. 373

    Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

    Published 2008-12-01
    “…Simulations of working this regulator for sin and chirp signals shows that the controller causes substantial reduction of the vibrations. …”
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  14. 374

    Integrated opisthorchiasis control through the EcoHealth/one health approach: 15 years of success and experiences with the Lawa model by Banchob Sripa, Sirikachorn Tangkawattana, Mingkwan Sangnikul

    Published 2025-06-01
    “…Improved community knowledge resulted in healthier practices. The “Lawa Model”, a recognized model for liver fluke control, is now a training hub being scaled up in Thailand and the Mekong region. …”
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  15. 375

    Signal-Vehicle Coordination Control Modeling and Roadside Unit Deployment Evaluation under V2I Communication Environment by Wanting Chen, Zhaocheng He, Yiting Zhu, Zhigang Wu

    Published 2023-01-01
    “…Second, we propose a model for signal-vehicle coordination control within this connected environment. …”
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  16. 376

    MODELING AND STUDY OF HYDROELECTRIC GENERATING SETS OF SMALL HYDRO POWER PLANTS WITH FREQUENCY-CONTROLLED PERMANENT MAGNET SYNCHRONOUS GENERATORS by R. I. Mustafayev, L. G. Gasanova, M. M. Musayev

    Published 2016-03-01
    “…The developed computer model reveals that this provides a higher level of adjustability towards rapid-changing loads in the grid. …”
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  17. 377

    Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach by Dong Zhan, Ai-Qing Tian, Shao-Quan Ni

    Published 2025-08-01
    “…This study delves into the optimization of PID control parameters for Multi-model Adaptive High-speed Rail Platform Door Control Systems (MMAHSR-PDCS) using the Individual-Based Model Dynamic Multi-Swarm Snow Goose Algorithm (IBM-Dy-SGA). …”
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    Markov Model Predicts Changes in STH Prevalence during Control Activities Even with a Reduced Amount of Baseline Information. by Antonio Montresor, Arminder Deol, Natacha À Porta, Nam Lethanh, Dina Jankovic

    Published 2016-04-01
    “…Since this amount of data is not often available from STH control programmes, the possible application of the model in control programme is limited. …”
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