Multi-objective design of fractional frequency-load control for hydro-thermal system considering nonlinear models and uncertainty by Xiaotong Ji, Heng Luo, Kan Cao, Dan Liu, Ping Xiong

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Research on intelligent control of coal slime flotation based on the WOA-GRU model by DOU Zhiheng, WANG Ranfeng, QIN Xinkai, CHAI Yuqing, LI Pinyu, LIU Shutong

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Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems by Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin

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Study on Optimization of Rice-Drying Process Parameters and Directional Regulation of Nutrient Quality by Jinquan Li, Kezhen Chang, Jun Yin, Yi Jin, Xiaokang Yi, Zhongjie Zhang, Yichuan He, Qiaonan Yang, Zhihui Tang, Xiaoyu Liu, Wenfu Wu

“…The relationship between each factor and nutrient quality was revealed through response surface analysis, and the regression model and process optimization parameters were established. …”
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Optimal Control Problem of Converter Steelmaking Production Process Based on Operation Optimization Method by Jun Zhang

“…Relationship between various operating variables, current temperature, and carbon content is constructed through operation analysis of a great deal of actual production data; then, the dynamic optimal control indicator is derived from historical excellent smelting data; finally, the dynamic operation optimization model is built by taking the minimum deviation between the current data—molten steel temperature and carbon content—and optimal data which are determined by the optimal control indicator as objective function. …”
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Turing patterns in a networked vegetation model by Xiaomei Bao, Canrong Tian

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MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION by Dewi Handayani, Audri Utami Gunadi, Ria Nurlita Rachmawati

“…A mathematical model of repellent effect and control in dengue transmission uses a SIR compartment model. …”
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Multi-objective optimization to manage reservoir water quality and quantity via selective withdrawal and watershed control by Habib Abbasi, Mohammad taghi Aalami, Mohammad Hossein Niksokhan, Leila Malekan

“…Soil and Water Assessment Tool (SWAT) model was linked to a reservoir water quality simulation model (CE-QUAL-W2), the linked watershed-reservoir model was coupled with Multi-Objective Particle Swarm Optimization algorithm (MOPSO) to find the best set of decisions to optimize the reservoir outflow quality and quantity objectives. …”
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Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…This study examines multi-zone heating control, using a data-driven model for predictive indoor temperature modeling in intelligent buildings taking into account the influence of interconnected adjacent zones. …”
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Multi-Objective Optimization of Building Ventilation Systems Using Model Predictive Control: Integrating Air Quality, Energy Cost, and Environmental Impact by Andreas Hyrup Andersen, Muhyiddine Jradi

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RBF-Learning-Based Many-Objective Metaheuristic for Robust and Optimal Controller Design in Fixed-Structure Heading Autopilot by Nattapong Ruenruedeepan, Sujin Bureerat, Natee Panagant, Nantiwat Pholdee

Subjects: “…fixed-structure robust controller design…”
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Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

“…This approach allows one to efficiently investigate the effect of velocity increment applied at the Poincaré section crossing on the repeat pattern, thus providing a foundation for accurate RGT orbit design and control strategy. By formulating the optimization problem with multiple objective functions for RGT orbits, the proposed method allows one to compute the initial conditions, thus guaranteeing the repetition of ground tracks with high accuracy and low time consumption via nonlinear optimization techniques. …”
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Impact of vaccine arrival on the optimal control of a newly emerging infectious disease: A theoretical study by Bruno Buonomo, Eleonora Messina

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ANALISIS EKSISTENSI DAN KARAKTERISASI KONTROL OPTIMAL VAKSINASI DALAM MODEL EPIDEMI SEIR DENGAN DUA WAKTU TUNDA by R Setiawan, Soeyono -, D Pambudi

“…</em><em>_&lt;}0{&gt;</em><em>Optimalization issue include the definition of objective function which engage condition variable and control variable and differential equation system (disease spreading model) as the constraint of optimalization issue.…”
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A Design Method for Road Vehicles with Autonomous Driving Control by Chunyu Mao, Yuping He, Martin Agelin-Chaab

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Aerodynamic Phenomena of Controlling Passive Flow of a Time‐Independent Ground Vehicle Under the Scope of Optimally Slanted Rear Wing‐Spoiler Combination by Abyaz Abid

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Optimal design of a hybrid ship energy management system under various sea conditions using Model Predictive Control. by Rafia Mushtaq, Muhammad Iqbal, Abdul Khaliq, Jamshed Iqbal

“…This paper introduces an optimal design and control approach for a hybrid ship energy management system under various sea conditions by employing model predictive control. …”
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Tumor dynamics model with treatments by oncolytic virotherapy and MEK inhibitors involving TNF-α inhibitors: Stability analysis and optimal control by Daengkongkho Salinthip, Viriyapong Ratchada

“…Additionally, optimal control is applied to the model to investigate the optimal strategy to reduce the load of tumor cells by using MEK inhibitors, TNF-α{\rm{\alpha }} inhibitors, and oncolytic virotherapy. …”
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Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control by Zheng Qi, Nan Zhou, Xianwei Feng, Sama Abdolhosseinzadeh

“…A novel Model Predictive Control (MPC) framework integrates Long Short-Term Memory (LSTM) neural networks for energy demand prediction and the Ant Nesting Algorithm (ANA) for multi-objective optimization. …”
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Model-Free Optimal Volt-VAR Control of Wind Farm Based on Data-Driven Lift-Dimension Linear Power Flow by Li Guo, Zhaoning Liu, Zhongguan Wang, Xialin Li, Yixin Liu, Yuxuan Zhang, Xiaodi Zang, Chengshan Wang

“…Considering reactive power devices such as wind turbines and static var generator (SVG) in wind farms, a global sensitivity-based reactive power and voltage linear optimization control model is proposed. Taking minimum reactive power adjustment of wind turbines and SVG as the objective function, combined with the sensitivity relationship between node voltage and reactive power injection, the proposed model-free voltage control method can realize optimal reactive power distribution, effectively reduce active power loss, and satisfy the requirement of rapid voltage control response of wind farms. …”
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