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    Reduction of Active Power Loss at 110/220 kV Node Substations Using Fuzzy Controller by Krysanov V.N., Burkovsky V.L., Danilov A.D.

    Published 2019-04-01
    “…The results of the simulation of the transformer voltage regulation process, performed in the MatLAB application environment, showed that the implementation of a new fuzzy controller structure had improved the efficiency of the substation power control system in forecasting and management (compared to classical solutions based on regression and probabilistic models). …”
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    Benefit Analysis of Precursor Emission Reduction on PM2.5: Using CMAQ-RSM to Evaluate Control Strategies in Different Seasons by Chih-Rung Chen, Hsin-Chih Lai, Min-Chuan Hsiao, Hwong-wen Ma

    Published 2022-07-01
    “…To implement more effective management of this problem, the sensitivity of ambient PM2.5 reduction to precursors needs to be clarified. In this study, a mature air quality model was used to simulate the contribution of precursors emission reduction to decreased PM2.5 concentration. …”
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  8. 28

    Model based multi-loop predictive control scheme for multivariable processes by Arun Ramaveerapathiran, Muniraj Rathinam, Karuppiah Natarajan, Muthiah Athi, Patil Mounica

    Published 2025-02-01
    “…The proposed method directly uses the process model without approximation and reduction. A sequential relay based auto tuning procedure is applied for the tuning of the controller parameters. …”
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    Comparative efficacy and safety of GLP-1 receptor agonists for weight reduction: A model-based meta-analysis of placebo-controlled trials by Haoyang Guo, Juan Yang, Jihan Huang, Ling Xu, Yinghua Lv, Yexuan Wang, Jiyuan Ren, Yulin Feng, Qingshan Zheng, Lujin Li

    Published 2025-03-01
    “…Methods: This systematic review of public databases included placebo-controlled randomized clinical trials of GLP-1RAs. Time-course, dose-response, and covariate models were used to describe the efficacy characteristics and influencing factors of different GLP-1RAs. …”
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    Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

    Published 2025-01-01
    “…This research demonstrates the effectiveness of dimensionality reduction and feature selection in improving the accuracy of movement recognition in myoelectric control.…”
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    An Improved Strategy for Torque Ripple Reduction of Dual Three-Phase Brushless DC Motor Fed by Two Diode-Clamped, Three-Level Inverters Using Model Predictive Control by Zahra Emami, Abolfazl Halvaei Niasar

    Published 2025-08-01
    “…This paper proposes a new finite control set model predictive control (FCS-MPC) approach with reduction of computational for diode-clamped three-level (DC3L) inverter fed to dual three-phase BLDCM (DTP-BLDCM) by selecting optimal vectors to solve the above problems. …”
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    High-order Sliding Mode Control of a Bioreactor Model through Non-Commensurate Fractional Equations by Fatemeh Saeedizadeh, Naser Pariz, Seyyed Abed Hosseini

    Published 2024-02-01
    “… A higher-order sliding approach to control a bioreactor model is proposed by non-commensurate fractional equations. …”
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    Balanced truncation model reduction for laser heating wafer model in frequency restricted domain by Md. Saiduzzaman, Md. Shafiqul Islam, Md. Sumon Hossain, M. Monir Uddin, Mohammad Osman Gani

    Published 2024-12-01
    “…A major challenge in semiconductor manufacturing is achieving accurate, real-time temperature control during wafer heating. To reduce the computational burden of complex mathematical models, low-dimensional reduced models can be employed. …”
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