The vessel movement optimisation with excessive control by С. Зинченко, А. Бень, П. Носов, И. Попович, В. Матейчук, О. Грошева

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An optimal neural network to design generators and stabilizers for multi-machine power systems based on a promoted firefly algorithm by Xiujun Nie, Nan Sun, Buqin Wang, Ganbar Akbari

“…To achieve this purpose, an optimal artificial neural network has been utilized, where the parameters of the PID controller are the network output. …”
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Design of Hybrid MPC-PID Controller Based on Fractional Order Model of AMR by Orkan Murat Celik, Furkan Nur Deniz, Murat Koseoglu

“…To this end, a novel hybrid control methodology, composed of a Proportional-Integral-Derivative (PID) controller and a model predictive controller (MPC), is proposed based on the fractional-order model of the AMR. …”
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Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

“…To address this challenge, model predictive control based on artificial neural networks can be employed. …”
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Optimal Scheduling of the Wine-Bottling Process: A Multi-Dependency Model with Hydraulic Considerations by Luis Lillo Otarola, Hanns de la Fuente-Mella, Alonso Peña Domarchi, Abhishake Kundu, José Ceroni-Díaz

“…The work proposes an operational approach based on a mixed-integer programming model that optimizes the sequencing of batches on the filtration and bottling lines, integrating setup times that depend on the processing order. …”
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AUTONOMOUS POWER SUPPLY SYSTEMS WITH RENEWABLE SOURCES OF ENERGY AND SMART GRID by L. M. Chetoshnikova, N. I. Smolentsev, S. A. Chetoshnikov, G. V. Gusarov

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Importance of drivetrain optimisation to maximise electrical power from wave energy converters by Nataliia Y. Sergiienko, Leandro Souza Pinheiro da Silva, Boyin Ding, Benjamin S. Cazzolato

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Model Predictive Current Control with Asymmetric Stacked Multilevel Inverter and LCL-Filter Based STATCOM by Mostafa Q. Kasim, Raaed Faleh Hassan

“…One of the essential features of this inverter that distinguishes it from the conventional types is that it achieves the required voltage levels with fewer switching devices, leading to simplifying the control process. Moreover, the work includes using a Finite Control Set Model Predictive Current Control (FCS-MPCC) to control the proposed structure. …”
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Multi-objective Optimization Method for HVAC System based on Exergy Analysis by Fang Xing, Jin Xinqiao, Du Zhimin, Wang Yijun, Fan Bo

“…According to the productive structure of the HVAC system, the HVAC system can be divided into three subsystems: cooling tower subsystem, chiller subsystem, and AHU subsystem. Based on the exergy models of three subsystems, MOPSO method is employed to search for the lowest exergy losses of three subsystems by optimizing the control sets of the HVAC system. …”
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Identification of the dynamic model of the gas separation column for improved process control by Andrei V. Ufimtsev

“…This paper provides an analysis of existing methods for optimizing the parameters of the ongoing technological process by numerical modeling and testing optimal functioning parameters using the example of a distillation column in the petrochemical industry. …”
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CALL MANAGEMENT MODEL IN TELECOMMUNICATIONS CONTROL SYSTEM BASED ON CORBA TECHNOLOGY by Valerii P. Mochalov, Eduard I. Yambulatov

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Human-in-the-Loop Modeling and Bilateral Skill Transfer Control of Soft Exoskeleton by Jiajun Xu, Kaizhen Huang, Mengcheng Zhao, Jinfu Liu

“…A reinforcement learning (RL) algorithm is proposed to optimize the robotic assistance by adapting the impedance model parameters to the subject’s performance. …”
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Complexity Analysis of a Master-Slave Oligopoly Model and Chaos Control by Junhai Ma, Fang Zhang, Yanyan He

“…We further analyze the long-run average profit of the three firms and find that they are all optimal in the stable region. In addition, delay feedback control method and limiter control method are used in nondelayed model to control chaos. …”
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Research on the design and application of role-resource based access control model by LAI Tianping, WANG Yongchao, LUO Pan, GAO Zhitong

“…The traditional role-based access control (RBAC) model plays a crucial role in permission management but faces challenges in Web applications, such as lack of resource definition, permission explosion, and permission leakage. …”
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A Review of Sensors for the Monitoring, Modeling, and Control of Commercial Wine Fermentations by Roger Boulton, James Nelson, André Knoesen

“…Large-scale commercial wine fermentation requires the monitoring and control of multiple variables to achieve optimal results. …”
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Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones by Ali Sarajian, Quanxue Guan, Ibrahim Harbi, Davood Arab Khaburi, Ralph Kennel, Cristian Garcia, Patrick Wheeler, Jose Rodriguez

“…Modulated Model Predictive Control (MMPC) techniques can be applied to enhance matrix converter (MC) performance in the linear modulation zone (LMZ). …”
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Study on the Switching Model Predictive Control Algorithm in Batch Polymerization Process by Jong Nam Kim, Chun Bae Ma, Hyok Jo, Un Chol Han, Hyon-Tae Pak, Son Il Hong, Ri Myong Kim

“…Finally, a switching model predictive control algorithm that determines the optimal manipulated value based on the on-line updated step response model is constructed, and a cascade control system using this algorithm is introduced to the temperature control of batch polyvinyl chloride suspension polymerization process. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…To enhance man-machine interaction, a mobile system based on LabVIEW was developed, enabling remote monitoring of material transport vehicles, which contributes to reducing workload and intensity for operators. Finally, the control system was reinforced using an improved proportional-integral-differential (PID) control algorithm to optimize the control performance. …”
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Modelling measles transmission dynamics and the impact of control strategies on outbreak Management by Olumuyiwa James Peter

“…The combined effect of immunization and early treatment provides useful information for optimizing control measures. This study emphasizes the need of quick and effective measures in managing measles outbreaks and serves as a platform for future research into improved public health methods.…”
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Mathematical Model for the Control of Unemployment in Nigeria Incorporating Vocational Education and Apprenticeship by Samuel Abu Somma, Rokeeb O. Omotinuwe, Nurat Olamide Abdurrahman

“…Objective: In this paper, mathematical modelling for the control of unemployment in Nigeria incorporating vocational education and apprenticeship was formulated. …”
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