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  1. 2281

    Model Predictive Control Method with Constant Switching Frequency to Reduce Common-Mode Voltage for PMSM Drives by Hao Li, Shuo Chen, Xiang Wu, Guojun Tan

    Published 2018-01-01
    “…A model predictive control method to reduce the common-mode voltage (MPC-RCMV) with constant switching frequency for PMSM drives is proposed in this paper. …”
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    Article
  2. 2282
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    Delay-Range-Dependent Robust Constrained Model Predictive Control for Industrial Processes with Uncertainties and Unknown Disturbances by Huiyuan Shi, Ping Li, Limin Wang, Chengli Su, Jingxian Yu, Jiangtao Cao

    Published 2019-01-01
    “…A delay-range-dependent robust constrained model predictive control is proposed for discrete-time system with uncertainties and unknown disturbances. …”
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    Article
  4. 2284

    A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid by Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed

    Published 2025-01-01
    “…This study introduces a new method for controlling Direct Current (DC) freestanding microgrids using Model Predictive Control (MPC). It focuses on integrating photovoltaic systems, battery storage, and hydrogen energy storage. …”
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    Article
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    Development of a predictive model for systemic lupus erythematosus incidence risk based on environmental exposure factors by Qianjin Lu, Ying Zhang, Cheng Zhao, Yu Lei, Hui Jin, Qilin Li

    Published 2024-11-01
    “…Currently, there are few predictive models for SLE that takes into account the impact of occupational and living environmental exposures. …”
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    Article
  10. 2290

    Connectome-based predictive modeling of handwriting and reading using task-evoked and resting-state functional connectivity by Junjun Li, Dai Zhang, Huan Ren, Ke Zhou, Yang Yang

    Published 2025-08-01
    “…In this study, we employed a connectome-based predictive modeling (CPM) approach to predict individual differences in handwriting skills using handwriting task-related and resting-state functional magnetic resonance imaging (fMRI) data. …”
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    Article
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  12. 2292

    Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

    Published 2025-07-01
    “…This research highlights the effectiveness of integrating micromechanical modeling with machine learning to improve the prediction and comprehension of composite behavior, thereby offering valuable insights for the design and application of advanced materials.…”
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    Developing a predictive model and uncovering immune influences on prognosis for brain metastasis from lung carcinomas by Bowen Wang, Bowen Wang, Mengjia Peng, Yan Li, Jinhang Gao, Tao Chang

    Published 2025-03-01
    “…Univariate and multivariate Cox regression were employed to construct a prediction model. Multiple machine learning methods were applied to validate the model. …”
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    Article
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    Coordinated Sliding Mode and Model Predictive Control for Enhanced Fault Ride-Through in DFIG Wind Turbines by Ahmed Muthanna Nori, Ali Kadhim Abdulabbas, Tawfiq M. Aljohani

    Published 2025-07-01
    “…To further enhance system performance, Model Predictive Control (MPC) is implemented for the Rotor-Side Converter (RSC) within the back-to-back converter (BTBC) configuration. …”
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    A predictive model for biomass waste pyrolysis yield: Exploring the correlation of proximate analysis and product composition by Sabah Mariyam, Mohammad Alherbawi, Gordon McKay, Tareq Al-Ansari

    Published 2025-01-01
    “…Validation studies comparing experimental and predicted yields of ternary biomass feeds highlight the robustness of the proposed models. …”
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    Article
  20. 2300

    Robust Invariant Set Design for Reliable Stopping in Adaptive Cruise Control via Model Predictive Control by Shila Alizadehghobadi, Reza Ehsani

    Published 2025-01-01
    “…However, many existing ACC systems rely on controllers that become infeasible or fail to ensure stability in safety-critical situations, particularly under short prediction horizons and high velocity. This paper presents a novel approach that integrates invariant sets and linear quadratic regulator (LQR) into model predictive control (MPC) to address these limitations, enabling reliable stopping performance. …”
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    Article