Optimal management of crop pests in the presence of agritourism by Badriya Al Hinaai, Ibtisam Al Abri, Abdullah M. Al-Sadi, Slim Zekri, Kelly Grogan

“…Despite extensive agricultural pest control research, few studies have examined optimal pest management in perennial crops or analytically considered pest behavior and fruit characteristics in estimating crop-related benefits and costs, particularly in the Arabian contexts. …”
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Design, Tuning, and Experimental Validation of Switched Fractional-Order PID Controllers for an Inverted Pendulum System by Matias Fernández-Jorquera, Marco Zepeda-Rabanal, Norelys Aguila-Camacho, Lisbel Bárzaga-Martell

“…The controller was tuned offline using particle swarm optimization (PSO) and a mathematical model of the system for simulation. …”
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A Closed-loop Optimal Feedback Guidance Method of Reentry Phase for Hypersonic Glide Vehicle by LIAO Yuxin, LI Jun, LI Xiaodong

“…A closed-loop optimal feedback guidance method based on online trajectory optimization and optimal feedback control was proposed for reentry guidance of hypersonic glide vehicle with multi constraints. …”
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Mathematical modelling of aeronautical environment by D. E. Eshmuradov, T. D. Elmuradov

“…On the basis of the study of air flight control, as well as the need to take into account the regional parameters of the airspace, the expediency and the need for mathematical modeling of the air navigation environment were identified. …”
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Analysis of the Impact for Mixed Traffic Flow Based on the Time-Varying Model Predictive Control by Rongjun Cheng, Haoli Lou, Qi Wei

“…The connected and automated vehicles (CAV) smoothing mixed traffic flow has gained attention, and a thorough assessment of these control algorithms is necessary. Our previous research proposed the time-varying model predictive control (TV-MPC) strategy, which considers the time-varying driving style of human driven vehicles (HDV), performing better than current baseline models. …”
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A Method of Sample Models of Program Construction in Terms of Petri Nets by D. I. Kharitonov, E. A. Golenkov, G. V. Tarasov, D. V. Leontyev

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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…By doing so, we aim to optimize control strategies and maintain string stability within vehicle platoons. …”
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Deep Hybrid Models: Infer and Plan in a Dynamic World by Matteo Priorelli, Ivilin Peev Stoianov

“…Traditionally, such problems are tackled with optimal control, which relies on the optimization of cost functions; instead, a recent biologically motivated proposal casts planning and control as an inference process. …”
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Optimization of Wastewater Treatment Process on Energy Costs at Truck and Tractor Washing Posts by A. V. Krutau, M. M. Dechko, M. A. Boika

“…Mathematical models have been obtained and optimal purification modes have been determined at the lowest specific energy costs and with sufficiently high degree of purification. …”
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Model Predictive Hybrid PID Control and Energy-Saving Performance Analysis of Supercritical Unit by Qingfeng Yang, Gang Chen, Mengmeng Guo, Tingting Chen, Lei Luo, Li Sun

“…In response to the escalating challenges of rapid load fluctuations and intricate operating environments, supercritical power units demand enhanced control efficiency and adaptability. To this end, this study introduces a novel model predictive hybrid PID control strategy that integrates PID with model predictive control (MPC), leveraging the operational characteristics of multi-loop systems. …”
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Simplified model for predictive direct power control with fixed switching frequency for grid-tie inverters by Van Quang Binh Ngo, Khanh-Quang Nguyen, Dinh-Long Hoang, Tu-Ha Nguyen

“…Furthermore, the computational burden is reduced thanks to the elimination of the optimization loop. A comparative study indicated that the proposed approach achieved better steady-state control performance concerning the low total harmonic distortion of the current model compared with the traditional FCS-MPC while guaranteeing a fast dynamic response. …”
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Unmanned aerial vehicle control in the task of mobile ground object tracking by A. A. Lobaty, P. V. Kholod

“…The given example of mathematical modeling of the optimal control of a UAV and the formation of its flight trajectory when accompanied by a ground object demonstrated the efficiency of the proposed method and the prospects of its application for the synthesis of UAV autopilots at the preliminary design stage.…”
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Modified Model Predictive Control for Coordinated Signals along an Arterial under Relaxing Assumptions by Kun Zhang, Hongfeng Xu, Baofeng Pan, Qiming Zheng, Hongjin Chen

“…MMPC employs the store-and-forward model to describe traffic flow, thereby transforming the signal control problem into a model-based rolling-horizon optimization problem, in which the prediction horizon is composed of several future sample intervals, commonly equal to the cycle length. …”
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Experimental feasibility of personalized functional neuromuscular stimulation stepping patterns developed in silico by Holly Warner, Holly Warner, Musa L. Audu, Musa L. Audu, Gabrielle C. Labrozzi, Gabrielle C. Labrozzi, Nathaniel S. Makowski, Nathaniel S. Makowski, Nathaniel S. Makowski, Ronald J. Triolo, Ronald J. Triolo

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Synthesis and Functional Optimization of a Vibratory Machine with a Parallel Mechanism Structure by Mircea-Bogdan Tătaru, Alexandru Rus, Tiberiu Vesselényi, Mariana Raţiu, Ioan Ţarcă

“…The proposed system has been studied both in terms of structure and kinematics, using instruments of simulation tools available in MATLAB and Simulink 2021. The developed model was validated and optimized using multi-body dynamic software ADAMS 2014, obtaining optimal parameters for one type of granular material.…”
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Design a Tool for Generating Test Cases using Swarm Intelligence by Shahbaa Khaleel, Ashraf Al Thanoon

“…In this research, the software engineering tool Generate Test Suite GTS TOOL was constructed and modeled with the aid of the computer, which is used to generate optimal test cases automatically and this tool also support the drawing of the control flowgraphs and paths inside the program and tests each path using CSO and PSO. …”
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Bridging prediction and decision: Advances and challenges in data-driven optimization by Yanzhi Wang, Jianxiao Wang, Haoran Zhang, Jie Song

“…This review examines the transformative impact of big data and intelligent systems on traditional optimization paradigms, highlighting the continuum of data-driven optimization from predictive modeling to decision implementation. …”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…The accuracy of the model prediction is significantly improved. The optimized bulbous bow design minimizes the ship resistance, which is reduced by 4.95% compared with the initial ship model. …”
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Investigation on Photovoltaic Array Modeling and the MPPT Control Method under Partial Shading Conditions by Jianbo Bai, Leihou Sun, Rupendra Kumar Pachauri, Guangqing Wang

“…Optimized particle swarm optimization (OPSO) is used to control the multipeak output model that can quickly and accurately track the global maximum power point (GMPP) of PV modules under PSCs. …”
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HEV Power Management Controller Design Based on Game-Theoretic Driver–Powertrain Interaction by Junghee Kim, Wansik Choi, Changsun Ahn

“…This model introduces controlled deviations from the driver's torque commands to enhance energy efficiency without compromising drivability. …”
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