Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors by Felipe S. Guedes, Nady Rocha, Alvaro M. Maciel, Alfeu J. Sguarezi Filho

“… This paper proposes a Simplified Finite-Set Model Predictive Power Controller (MPPC) to improve the performance of the Doubly-Fed Induction Generator (DFIG). …”
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Optimization of Directional Long Boreholes Unloading Gas Extraction Process and Application Research by Chunhua Zhang, Yuqi Li

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Research on COP Prediction Model of Chiller Based on PSO-SVR by Zhou Xuan, Cai Panpan, Lian Sizhen, Yan Junwei

“…At last, operating data of two days in summer and transition season are randomly selected to verify the model. The relative error is within 5%. So this model can provide theoretical basis for the chiller energy efficiency analysis, fault detection and diagnosis and optimizing control.…”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

“…This article presents a method for researching processes in automatic control systems based on the operator approach for modelling the control object and the controller. …”
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Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks by Malihe Zeraati, Rana Pourmohamad, Bahareh Baghchi, Narendra Pal Singh Chauhan, Ghasem Sargazi

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Optimization of Characteristic Diagram Based Thermal Error Compensation via Load Case Dependent Model Updates by Christian Naumann, Janine Glänzel, Martin Dix, Steffen Ihlenfeldt, Philipp Klimant

“…There are numerous methods for both the model-based estimation of the thermal tool center point (TCP) deflection and for controlling the thermal or thermo-elastic behavior of the machine tool. …”
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Comparative analysis of machine learning platforms to optimize DevOps: application of the Neutrosophic OWA-TOPSIS model by Miguel Angel Quiroz Martinez, Keyko Garces Salazar, Joshua Montesdeoca Soriano, Mónica Gomez-Rios

“…The results from the OWA-TOPSIS model, derived from controlled experimental assessments, indicate that Microsoft Azure offers greater advantages over AWS for DevOps optimization and software deployment in the studied use cases. …”
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Optimizing motorcycle tire tread patterns to mitigate hydroplaning: Development and validation of a predictive mathematical model by Weerachai Chaiworapuek, Ravivat Rugsaj, Chakrit Suvanjumrat

“…This study presents advanced methodologies to evaluate hydroplaning force, aiming to mitigate these risks and optimize motorcycle tire tread patterns. A state-of-the-art hydroplaning testing apparatus was developed to precisely measure tire behavior on wet surfaces under controlled conditions. …”
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Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm by Junyang Wang, Limin Zhang, Xiang Liu, Jinchan Zhang, Wanxin Wang, Hong Xu

“…The first 850 items of this dataset were then utilized to train the designed BP, and the remaining 28 items were evaluated for error. Next, the model is parameterized using a genetic algorithm to reduce the overall network size, thus optimizing the fit. …”
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Dynamic Modeling of a Kaplan Hydroturbine Using Optimal Parametric Tuning and Real Plant Operational Data by Hong Wang, Sunil Subedi, Wenbo Jia

“…The method can be used to provides optimal tuning of parameters critical for controller design, operational optimization and daily maintenance for hydroturbines in general.…”
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Parameter Sensitivity Analysis and Irrigation Regime Optimization for Jujube Trees in Arid Regions Using the WOFOST Model by Shihao Sun, Yingjie Ma, Pengrui Ai, Ming Hong, Zhenghu Ma

“…The subsequent multi-objective optimization of yield and crop water productivity of dates under different combinations of water and potassium treatments under a bi-objective optimization model based on the NSGA-II algorithm showed that the optimal strategy was irrigation at 80% ET_c combined with 300 kg/ha of potassium application. …”
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Parametric Analysis and Control of Bedding-Inclined Asymmetric Stress in Double-Arch Tunnels: A 3DEC-Based Study on Jointed Rock Masses by Pai Zhang, Wangrong Li, Liqiang Xu, Fengwei Wu, Zaihong Li, Pei Tai, Leilei Liu

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Energy-Saving Optimization Strategy Research for Chilled Water Units Based on Active Water Storage by Huang Junjie, Liang Caihua, He Hui, Bai Xi, Mao Yubo, Tang Qi

“…An energy-saving optimization operation strategy based on maintaining the high-energy-efficiency operation of chillers is proposed to address the prevalent issue of increased energy consumption in the application of cold-storage technology for economic optimization in the current air-conditioning industry. …”
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Optimal management of the acquiring and evaluating the competencies process of university students by G. A. Dorrer, A. G. Dorrer, G. M. Rudakova

“…The management of this process is formulated as the problem of analytical design of the optimal controller A.Letov [1], and the state estimation is in the form of a R. …”
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Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

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Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach by Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

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On training intelligent agents in a virtual environment for the robot manipulator control task by Nikita E. Zalogin, Dmitriy S. Grigorev

“…Implementation, investigation and modification of reinforcement learning algorithms, such as Deep Q-Network and Proximal Policy Optimization, to manage agents in the KukaDiverseObjectEnv virtual environment on the PyBullet platform in order to create models that can accurately and reliably interact with objects of different classes. …”
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A Multi-Objective Optimization Approach for Integrated Allocation of Distributed Generation and Protection Devices in Distribution Systems by Katiani Pereira, Juan M. Home-Ortiz, Edgar M. C. Franco

“…This paper presents a methodology for the optimal and simultaneous allocation of Distributed Generation (DG), Control and Protection Devices (CPDs) in unbalanced electric power distribution systems. …”
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Impact of electric vehicle charging demand on clean energy regional power grid control by Fang Hao

“…Using real grid data and time-series simulation, we develop a dispatch optimization framework incorporating a master-slave game model based on wind power output distribution. …”
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