Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization by Maede Arefizadeh, Danial Behvandi, Shahrokh Shahhosseini, Ahad Ghaemi

“…Kinetic studies indicated that UAE and MAE are more efficient in extracting unsaturated fatty acids, with MAE showing the highest double bond content. The Kinetic models demonstrated that extraction kinetics were controlled primarily by solid-phase resistance, with the washing coefficients being significantly higher than the diffusion coefficients. …”
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Construction of an Adaptive Motion Control System Optimal Information Exchange Scheme for a Group of Unmanned Aerial Vehicles by Leonid Nikolaevich Kazakov, Evgeniy Pavlovich Kubyshkin, Dmitry Ezrovich Paley

“…The paper considers the problem of modeling an adaptive control system information exchange for a group of unmanned aerial vehicles (UAVs). …”
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Coordinated Traffic-Signal Control of Wide Area Network via Hierarchical Reinforcement Learning by Takumi Saiki, Sachiyo Arai

“…However, optimizing traffic control for an entire city using only data from near the intersections is challenging. …”
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OPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION by Mohammed Shukur Alfaras, Oğuz Karan, Sefer Kurnaz

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Quantitative stability analysis of STATCOM in voltage control mode and Enhanced control method based on voltage feedforward by Song Zhang, Yandong Chen, Qianyuan Li, Zhiwei Xie, Youze Fu, Wenhua Wu

“…To mitigate these stability issues, we propose an optimized voltage feedforward control strategy that can effectively reduce the mid- to high-frequency amplitude of Yqd, thereby improving the stability of STATCOM in VC mode under weak grid conditions while ensuring dynamic performance. …”
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Research on Fuzzy Adaptive Model Predictive Control Methodology for Heavy-Haul Trains by YI Jie, JIANG Fan, LUO Yuan, ZHANG Zhengfang, BAI Jinlei, ZHONG Puhua

“…Based on the establishment of a nonlinear multi-mass model for heavy-haul trains, a model predictive control system framework was constructed, to incorporate optimization processes that consider multiple objectives and operational constraints. …”
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Hardware-software simulator for modeling indoor temperature and humidity processes by О.M. Yevseienko

“…The methods used include automatic control theory, analysis and synthesis of objects, interaction models, SCADA system programming, and controllers. …”
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Desired Terminal State Concept in Model Predictive Control: A Case Study by František Dušek, Daniel Honc

“…The paper deals with an online optimization control method for dynamical processes called Model Predictive Control (MPC). …”
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Distributed Economic Model Predictive Control-Based Self-Powered Active Vibration Control of Flexible Structures With PMSM Electromagnetic Damper by Kaixin Cheng, Yuanbo Guo, Ze Li, Qigang Liang, Luyu Li, Xiaohua Zhang

“…In addition, a distributed economic model predictive control (DEMPC) strategy is presented to optimize control inputs, which can ensure that the flexible structural system achieves optimal energy recovery power while satisfying certain state constraints. …”
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A data driven model-free predictive current control for grid-connected inverters by Jindong YANG, Xiran ZHANG, Zeyu YANG, Fei RONG

“…Traditional model predictive current control has been widely studied in the field of grid-connected inverter control due to its rapid response and multi-objective optimization capabilities. …”
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Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller by Xiangji Wang, Wei Guo, Siyu Yin, Sen Zhang, Fusheng Zha, Fusheng Zha, Mantian Li, Pengfei Wang, Xiaolin Li, Lining Sun

“…First, we analyze the issues in traditional footstep planners based on Linear Inverted Pendulum and Model Predictive Control (LIP-MPC). By reconstructing the footstep optimization problem during walking using the Center-of-Mass (CoM) position, we propose an improved footstep planner to enhance the control accuracy of the desired walking speed in humanoid robots. …”
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Optimizing photovoltaic performance: Data-driven maximum power point prediction via advanced regression models by Maissa Farhat, Azzeddine Dekhane, Abdelhak Djellad, Maen Takruri, Aws Al-Qaisi, Oscar Barambones

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A New Self-Tuning Nonlinear Model Predictive Controller for Autonomous Vehicles by Yasin Abdolahi, Sajad Yousefi, Jafar Tavoosi

“…This article consists of acquiring vehicle dynamics, extended model predictive control, and optimization paradigm. …”
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Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

“…Model predictive control (MPC) has become a key tool for optimizing real-time operations in industrial systems and processes, particularly to enhance performance, safety, and resilience. …”
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Game-theoretic modelling and analysis of strategic investments for PV and shared battery by Taichi Tanaka, A. Daniel Carnerero, Mengmou Li, Yasuaki Wasa, Kenji Hirata, Takeshi Hatanaka

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An Optimal Reconfiguration Strategy of Microgrid Cluster Based on Vulnerability Assessment by LIU Haocheng, DING Xiying

“…Finally, according to the vulnerability assessment results, the network optimization and reconfiguration of microgrid group are carried out, and for the reconstructed microgrid, the multi-agent consistency control strategy is adopted to optimize the power distribution of the system. …”
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JESO: Reducing Data Center Energy Consumption Based on Model Predictive Control by Xun Chen, Guizhao Xu, Xiaolei Chang, Zhenzhou Wu, Zhengjian Chen, Chenxi Li

“…Therefore, we proposed JESO (Joint Energy Saving Optimization), a MPC (Model Predictive Control)-based method, to realize the joint energy-saving optimization of IT equipment and the HVAC system. …”
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Energy Saving in Building Air-Conditioning Systems Based on Hippopotamus Optimization Algorithm for Optimizing Cooling Water Temperature by Yiyang Zheng, Yaping Gao, Jianwen Gao

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Enhancing wound healing through deep reinforcement learning for optimal therapeutics by Fan Lu, Ksenia Zlobina, Nicholas A. Rondoni, Sam Teymoori, Marcella Gomez

“…The proposed methodology showcases a significant potential for expediting wound healing by effectively integrating perception, predictive modelling and optimal adaptive control, eliminating the need for intricate mathematical models.…”
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Internal Control Model of Enterprise Financial Management Based on Market Economy Environment by Qian Li

“…The results show that, through the internal control model and management optimization of financial management, a large number of calculations and subjective affairs in the process of financial work can be avoided to the greatest extent. …”
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