Stability analysis of Rift Valley fever transmission model with efficient and cost-effective interventions by Samson Olaniyi, Olajumoke D. Falowo, Abiodun T. Oladipo, Gideon K. Gogovi, Adekunle O. Sangotola

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Trajectory tracking control of autonomous vehicles based on event‐triggered model predictive control by Jindou Zhang, Zhiwen Wang, Long Li, Kangkang Yang, Yanrong Lu

“…Firstly, the augmentation system is constructed based on the known road curvature information, and the model predictive controller is utilized to obtain the optimal control sequence. …”
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Structural design and temperature control enabling high sensitivity nanomaterial-based three-electrode gas sensors by Muhammad Waqas, Yong Zhang, Saif Aldeen Saad Obayes Alkadhim, Xiaoyu Li, Liang Xie

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Basic principles of construction of high-quality analytical adaptable control systems for thermal energy processes by G. Т. Kulakou, A. Т. Kulakou

Subjects: “…control systems…”
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Two-Stage Energy Economic Optimal Dispatch of Virtual Power Plant in Deregulated Electricity Market by Lihang ZHAO, Weiguang CHANG, Min YANG, Qiang YANG, Ganghua QIN

“…In the intra-day stage, on the basis of the day-ahead scheduling plan, the model predictive control (MPC) strategy is used to adjust the intra-day operation plan so as to eliminate net load variation caused by forecasting errors as well as to minimize penalties from the intra-day balancing market, thus reducing the overall operation costs. …”
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Tuning of PID Controller for Speed Control of DC-Motor by using Generalized Regression Neural Network and Invasive Weed Optimization by Muhammad Hilal, Haider TH. Salim ALRikabi, Ibtisam A. Aljazaery

“…By optimizing the parameters of the GRNN model, the optimal combination of parameters can be found to maximize motor efficiency and performance while minimizing energy consumption and wear and tear on the motor. …”
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Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory by Junxiong Zhang, Weimin Wu, Xiaohu Ge, Yingzhuang Liu

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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. Consequently, power distribution operators can determine the optimal number and location of circuit breakers, remote-controlled sectionalizers, and manual switches in large-scale systems without mathematical optimization algorithms. …”
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Large-Scale Power Grid ADPSS Electromagnetic Transient Modeling Method and Software Implementation Based on PSD-BPA Data by Shuwen XU, Guying ZHUO, Zhuang LI, Min LIU, Qing MU

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Enhanced Hysteresis Droop Control for Equivalent Load Sharing in Parallel PWM DC-DC Converters: Optimized Slew Rate by Resonant Filtering by Cagfer Yanarates, Aytac Altan

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Fractional-Order LC Three-Phase Inverter Using Fractional-Order Virtual Synchronous Generator Control and Adaptive Rotational Inertia Optimization by Junhua Xu, Chunwei Wang, Yue Lan, Bin Liu, Yingheng Li, Yongzeng Xie

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A Novel Modified Gorilla Troops Optimizer Algorithm for Interline Power Flow Controller-Based Damping Controller Design by Rajendra Kumar Khadanga, Deepa Das, Sidhartha Panda, Soumya Ranjan Mahapatro, Manoj Kumar Kar, Ahmed Al Mansur, Taha Selim Ustun, Akhtar Kalam

“…To effectively dampen low-frequency oscillations, an auxiliary controller for modeling the IPFC is proposed. It provides four options for damping controllers, and the recommended mGTO algorithm is used to adjust the controller parameters. …”
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Distributed Model Predictive Control Applied to a Four Interconnected Tank Process by Felipe D.J. Sorcia Vázquez, Carlos D. García Beltrán, Guillermo Valencia Palomo, Gerardo Guerrero Ramírez, Manuel Adam Medina, Ricardo Escobar Jiménez

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KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN by Jingting Xu, Hua Qu, Jihong Zhao

“…N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration，and the problem was abstracted as a multi-objective optimization problem. …”
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FEATURES FORMALIZATION TASKS OF FORMATION OF SOLUTIONS FOR FUNCTIONAL AND PRODUCTION MANAGEMENT INDUSTRIAL ENTERPRISES IN THE MARKET by S. Logvinov

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A Multi-Type Ship Allocation and Routing Model for Multi-Product Oil Distribution in Indonesia with Inventory and Cost Minimization Considerations: A Mixed-Integer Linear Programmi... by Marudut Sirait, Peerayuth Charnsethikul, Naraphorn Paoprasert

“…<i>Methods</i>: This study combined a mixed-integer linear-programming (MILP) model with a response surface methodology (RSM) approach to optimize vessel assignment, vessel routes, and inventory control simultaneously and comprehensively across three regional clusters (i.e., Western, Central, and Eastern Indonesia). …”
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Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency by Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S. Vairagade, Balram Yelamasetti, Sagar D. Shelare, Shubham Sharma, Abinash Mahapatro, V.K. Bupesh Raja, Quadri Noorulhasan Naveed, Naoufel Kraiem, Saiful Islam, Jasmina Lozanovic

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Active learning concerning sampling cost for enhancing AI-enabled building energy system modeling by Ao Li, Fu Xiao, Ziwei Xiao, Rui Yan, Anbang Li, Yan Lv, Bing Su

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Model of the Process of Production Requirements Management of a Coal Mining Enterprise under VUCA Conditions by S. A. Zotov

“…The study aims to design a management model that accommodates the complex nature of analytical and control processes, ultimately boosting competitiveness. …”
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The Neuromusculoskeletal Modeling Pipeline: MATLAB-based model personalization and treatment optimization functionality for OpenSim by Claire V. Hammond, Spencer T. Williams, Marleny M. Vega, Di Ao, Geng Li, Robert M. Salati, Kayla M. Pariser, Mohammad S. Shourijeh, Ayman W. Habib, Carolynn Patten, Benjamin J. Fregly

“…The Treatment Optimization toolset contains three tools for predicting and optimizing a patient’s functional outcome for different treatment options using a patient’s personalized neuromusculoskeletal model and direct collocation optimal control methods. …”
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