Testing Program Critical Control Points (TP-CCP): Characterizing and Optimizing Decision-making Power in Food Safety Testing by Joelle Mosso, Gustavo A. Reyes, Barbara Kowalcyk, De Ann Davis

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Optimal control of interactions between invasive alien and native species in a certain time period with the r-PINN approach by Yudi Ari Adi, Danang A. Pratama, Maharani A. Bakar, Sugiyarto Surono, Suparman, Agung Budiantoro

“…This study proposes an optimal control framework to mitigate the impact of invasive species by enhancing native species preservation through a reaction–diffusion mathematical model. …”
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Optimal control of hepatitis C antiviral treatment programme delivery for prevention amongst a population of injecting drug users. by Natasha K Martin, Ashley B Pitcher, Peter Vickerman, Anna Vassall, Matthew Hickman

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Enhanced Stability and Performance of Islanded DC Microgrid Systems Using Optimized Fractional Order Controller and Advanced Energy Management by Md. Wahidujjaman, Tasnim Ul Bari, Md. Shafiul Alam, Md. Rashidul Islam, Md. Alamgir Hossain, Md. Arafat Hossain, Md. Rafiqul Islam Sheikh

“…A complete mathematical model of the DC microgrid is developed along with the proposed controller to facilitate detailed analyses. …”
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Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application by Mahmoud Ibrahim, Oskar Järg, Raigo Seppago, Anton Rassõlkin

“…The implementation of the optimized control strategy was rigorously tested on the simulation model, with subsequent validation conducted on a real test bench setup. …”
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Optimizing aquatic weed management in Lake Ossa, Cameroon: Harnessing the power of biological control and real-time satellite monitoring by Logan Herbert, Annick Zanga, David Kinsler, Victoria Ayala, Aristide Takoukam Kamla, Rodrigo Diaz

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Matching and Control Optimisation of Variable-Geometry Turbochargers for Hydrogen Fuel Cell Systems by Matt L. Smith, Alexander Fritot, Davide Di Blasio, Richard Burke, Tom Fletcher

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Model Predictive Control Strategies Performance Evaluation over a Pipeline Transportation System by Jorge Cardenas-Cabrera, Luis Diaz-Charris, Andrés Torres-Carvajal, Narciso Castro-Charris, Elena Romero-Fandiño, José David Ruiz Ariza, Javier Jiménez-Cabas

“…Therefore, the performance of the control strategy implemented is one way of reaching such optimal operating zones. …”
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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…This will allow readers to select and modify optimized models for their context-specific use cases. …”
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Dynamic evolutionary game model for coal mine safety monitoring and control and its application by Ruxiang QIN, Tao SHEN, Shihui LI

“…The model takes the strategy changes of the two major subjects as the core, explores the influence of parameter changes on the strategy trend and its convergence state, and proposes the inspection method and reward and punishment system for optimizing monitoring and control. …”
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Universal Walking Control Framework of Biped Robot Based on Dynamic Model and Quadratic Programming by Xiaokun Leng, Songhao Piao, Lin Chang, Zhicheng He, Zheng Zhu

“…Traditional biped robot control methods suffer from low model accuracy, poor dynamic characteristics of motion controllers, and poor motion robustness. …”
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Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation by Radhakrishnan Keerthika, Subramani Palani Niranjan, Sorin Vlase

“…This study proposes a Fuzzy-Based Control System (FBCS) for a Bulk Service Queueing Model with Vacation, designed to optimize service performance by dynamically adjusting system parameters. …”
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A two-stage game-based model for distribution of water consumption control indicators by Wenrui Wang, Ting Wang, Bin Liu, Jinxia Sha, Jinjun You

“…In the second stage, the fuzzy cooperative game model optimizes non-rigid indicator distribution by forming water resource cooperation alliances, enhancing overall benefits. …”
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Explainable ML modeling of saltwater intrusion control with underground barriers in coastal sloping aquifers by Asaad M. Armanuos, Martina Zeleňáková, Mohamed Kamel Elshaarawy

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Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong, Jianyong Chai, Xuejuan Wang

“…Then, the prediction information of traffic variables and the VSL strategy are introduced to macro hierarchical control traffic flow model. A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. …”
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Mathematical Model Used to Compute Packet Energy Consumption-Based Control Topology for WSN by Mohammed Joudah Zaiter, Tariq Mohamed, Abdalrazak Tareq Rahem, Viktar Tsviatkou

“…Therefore, this paper proposed a mathematical model to represent packet energy consumption with control topology for WSN. …”
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SOME QUESTIONS OF THE GRID AND NEURAL NETWORK MODELING OF AIRPORT AVIATION SECURITY CONTROL TASKS by L. N. Elisov, N. I. Ovchenkov

“…Parallel computing methods and network neurocomputing for modeling of airport security control processes are examined in this work. …”
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A Mathematical Model that Simulates Control Options for African Swine Fever Virus (ASFV). by Mike B Barongo, Richard P Bishop, Eric M Fèvre, Darryn L Knobel, Amos Ssematimba

“…This prediction, although it may seem intuitive, rationally confirms the importance of early intervention in managing ASF epidemics. The modelling approach is particularly valuable in that it determines an optimal timing for implementation of interventions in controlling ASF outbreaks.…”
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Exchange rate predictability: Multi-State Markov-Switching model and trend with controlled smoothness by Alejandro Islas Camargo, Juan A. Zumaya Galván

“… This study presents an exchange rate (Mexican Pesos / U.S. Dollar) forecasting model. The statistical methodology used is based on the Multi-State Markov Switching model with three different specifications. …”
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Model Predictive Control Using Stochastic Motion Prediction of Surrounding Vehicles in Uncontrolled Intersections by Sunyub Park, Yonghwan Jeong

“…This paper presents an autonomous driving algorithm for uncontrolled intersections based on Model Predictive Control (MPC) and Interacting Multiple Model (IMM) filters, proposing an innovative approach to addressing human driver uncertainty in mixed traffic scenarios. …”
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