Functional Model of Supply Chain Waste Reduction and Control Strategies for Retailers—The USA Retail Industry by Victory Ikpe, Mohammad Shamsuddoha

“…The study delineates various supply chain waste types, examines associated challenges and drivers, and proposes a simplified model tailored to the US retail landscape to enhance efficiency and sustainability through waste reduction and control. …”
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Model Predictive Control Using an Artificial Neural Network for Fast-Charging Lithium-Ion Batteries by Joris Jaguemont, Ali Darwiche, Fanny Bardé

“…The increasing computational complexity of Model Predictive Control (MPC) in battery systems limits its practical adoption, despite its potential for optimizing performance under dynamic operating conditions. …”
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Investigation of a mathematical model of a bio-artificial liver using a PID-controller by Alexey S. Ganshin, Denis A. Andrikov

“…The objective of this study is to develop and analyze a mathematical model of a bio-artificial liver using proportional-integral-differential a controller for managing key processes. …”
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Tunnel composting Optimisation using polynomial models with moisture and density control for electrical conductivity stabilisation by Tiago Santos, Isabel Bentes, Carlos Afonso Teixeira

“…A polynomial regression model (R2 = 0.656) demonstrated that maintaining moisture between 34.7% and 37.5%, bulk density between 363.3 and 461.3 g/L, and a Bio:Green ratio between 1.2 and 1.4 ensures EC remains within the optimal range (3.75–4.0 mS/cm). …”
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Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator by Diego Quevedo‐Moreno, Sang‐Yoep Lee, Jonathan Tagoe, Vishnu Emani, Jean Bonnemain, Ellen T. Roche

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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…A multi-model fusion attack detection framework is proposed, integrating (Long Short-Term Memory) LSTM supervised learning and autoencoder unsupervised learning algorithms, with an adaptive weight adjustment mechanism that dynamically optimizes detection strategies. …”
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Computationally Efficient and Loss-Minimizing Model Predictive Control for Induction Motors in Electric Vehicle Applications by Carolina Nicolás-Martín, Miguel E. Montilla-DJesus, David Santos-Martín, Jorge Martínez-Crespo

“…This paper introduces a loss-minimizing Model Predictive Control (MPC) strategy for induction motors in electric vehicle applications designed to track a specified speed reference. …”
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Non-linear model predictive control with single-shooting method for autonomous personal mobility vehicle by Rakha Rahmadani Pratama, Catur Hilman Adritya Haryo Bhakti Baskoro, Joga Dharma Setiawan, Dyah Kusuma Dewi, Paryanto Paryanto, Mochammad Ariyanto, Roni Permana Saputra

“…This study aims to develop a proposed method for controlling an autonomous personal mobility vehicle called SEATER (Single-passenger Electric Autonomous Transporter), using Non-linear Model Predictive Control (NMPC). …”
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A Nonlinear Rebalanced Control Compensation Model for Visual Information of Drivers in the Foggy Section of Expressways by Xiaolei Li, Qianghui Song

“…The paper constructs a driving visual information demand model for foggy environments based on visual information input and output, using Shannon’s theory and feedback control theory. …”
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Control-Relevant Adaptive Personalized Modeling From Limited Clinical Data for Precise Warfarin Management by Affan Affan, Jacek M. Zurada, Tamer Inanc

“…The model (In)validation technique adapts the identified individualized patient model according to the change in the patient's status to ensure the model's suitability for prediction and controller design. …”
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Predictive modelling of graphene-enhanced greases using classical feedback control and quantum kernel regression by Ethan Stefan-Henningsen, Amirkianoosh Kiani

“…A classical piecewise regression model, augmented by a Linear Quadratic Regulator (LQR), leverages feedback control to correct temperature predictions and subsequently estimate wear using a polynomial fit. …”
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Performance of popular large language models in glaucoma patient education: A randomized controlled study by Yuyu Cao, Wei Lu, Runhan Shi, Fuying Liu, Steven Liu, Xinwei Xu, Jin Yang, Guangyu Rong, Changchang Xin, Xujiao Zhou, Xinghuai Sun, Jiaxu Hong

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Predicting and Controlling Multiple Transmissions of Rotavirus Using Computational Biomedical Model in Smart Health Infrastructures by Titus Ifeanyi Chinebu, Kennedy Chinedu Okafor, Omowunmi Mary Longe, Kelvin Anoh, Henrietta Onyinye Uzoeto, Victor Onukwube Apeh, Ijeoma Peace Okafor, Bamidele Adebisi, Chukwunenye Anthony Okoronkwo

“…This paper proposes a biomedical model for predictive control of the virus spread based on Susceptible, Breastfeeding, Vaccinated, Infected, and Recovered (SBVIR) parameters. …”
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Identification of the Mathematical Model of Tuberculosis and HIV Co-Infection Dynamics by Sergey Kabanikhin, Olga Krivorotko, Andrei Neverov, Grigoriy Kaminskiy, Olga Semenova

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Parameter Optimization of Automatic Emergency Braking System forCommercial Vehicle Based on JT/T 1242-2019 by ZHAO Chenguang, YING Yuting, LI Zhenzhong

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Real-Time Wave Energy Converter Control Using Instantaneous Frequency by Inyong Kim, Ted K. A. Brekken, Solomon Yim, Brian Johnson, Yue Cao, Pranav Chandran

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Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control by Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan

“…To address this challenge, a dual-loop control system is proposed, combining model-free adaptive control (MFAC) with an improved PID controller. …”
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V2G Scheduling Control Strategy Based on Virtual Synchronization by Wei ZHENG, Le ZHANG, Jianjun ZHANG, Changling WU, Haoran ZHAO, Kuo YAN

“…[Method] Firstly, a day-ahead application mechanism was adopted, and a two-layer rolling optimization scheduling model was established to formulate charging plans for each charging station. …”
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A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network by Goutam Chakraborty, Vadim Azhmyakov, Luz Adriana Guzman Trujillo

“…This paper is devoted to a novel formal analysis, optimizing the learning models for feedforward multilayer neural networks with hybrid structures. …”
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Parameter identification of photovoltaic inverter based on improved particle swarm optimization algorithm by LUO Jian, SUN Yue, JIANG Lijuan

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