Optimizing air velocity for energy-efficient and sustainable rubberwood drying kilns by Suratsavadee K. Korkua, Choosak Rittiphet, Siraporn Sakphrom, Santanu Kumar Dash, Chalearm Tesanu, Kamon Thinsurat

“…Predicting moisture content accurately during drying is crucial, as it directly impacts wood quality and process optimization. Traditional methods often struggle with dynamic variations in drying behavior, making precise control challenging. …”
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An Asymptotic Analysis of the Gradient Remediability Problem for Disturbed Distributed Linear Systems by Soraya Rekkab, Samir Benhadid, Raheam Al-Saphory

“…Consequently, under convenient hypothesis, the existence and the uniqueness of the control of type optimal, guaranteeing the asymptotically gradient compensation system ( -system), are shown and proven. …”
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Time-delayed vibration control and parameter optimization of semi-active vehicle suspension designed for random road excitation by Yong Guo, Yong-Jing Li, Yan-Bo Wei

“…Firstly, the optimal values of time-delayed feedback control parameters are derived through an optimization algorithm based on “equivalent harmonic excitation.” …”
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Optimization of Fuzzy Social Force Model Adaptive Parameter using Genetic Algorithm for Mobile Robot Navigation Control by Alif Wicaksana Ramadhan, Bima Sena Bayu Dewantara, Setiawardhana Setiawardhana

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Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Mohammad Osman Tokhi

“…This study develops and validates a force feedback control system for automotive pedals utilizing an optimized PID controller using the hybrid Spiral Sine-Cosine algorithm (SSCA). …”
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Optimal control method of regional power grid based on elastic carrying capacity analysis and day-ahead evaluation by Yu Zhang, Qingsheng Li

“…Abstract To achieve the coordinated consumption and control of a high proportion of renewable energy in the current regional power grid while ensuring sufficient safety margins, this paper proposes an optimization control method based on elastic carrying capacity analysis and recent evaluation. …”
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Short Landing Control Techniques Using Optimization of Flare Time Constant for High-Speed Fixed-Wing UAV by Ryoga Sakaki, Masazumi Ueba

“…The method uses a motion model that incorporates both translational and rotational motion in the longitudinal direction, which is more comprehensive than a point mass model. After solving the nonlinear optimization problem to obtain the flare time constant, we first conduct longitudinal flight simulation to confirm both the accuracy of the optimal solution and the validity of the motion model used in the nonlinear optimization problem and, then, confirm the feasibility of the landing control technique with the optimized flare time constant using a six-degrees-of-freedom simulation.…”
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Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

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Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption by Vukasin Klepic, Magdalena Wolf, Tobias Proll

“…This paper introduces a straightforward Model Predictive Control (MPC) method for residential buildings equipped with thermally activated building structures (TABS), photovoltaics (PV), and heat pumps (HP). …”
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Modeling and Optimal Control Analysis Applied to Real Cases of COVID-19 Pandemic with Double Dose Vaccination in Ethiopia by Fekadu Mosisa Legesse, Koya Purnachandra Rao, Temesgen Duressa Keno

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Upper-Limb Robotic Rehabilitation: Online Sliding Mode Controller Gain Tuning Using Particle Swarm Optimization by Deira Sosa Méndez, David Bedolla-Martínez, Maarouf Saad, Yassine Kali, Cecilia E. García Cena, Ángel L. Álvarez

“…Two primary challenges in controlling robotic rehabilitation devices are the uncertainties in dynamic models and, more importantly, the need for controllers capable of adapting to external disturbances due to human–robot interaction. …”
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A Supervisory Control Framework for Fatigue-Aware Wake Steering in Wind Farms by Yang Shen, Jinkui Zhu, Peng Hou, Shuowang Zhang, Xinglin Wang, Guodong He, Chao Lu, Enyu Wang, Yiwen Wu

“…This study proposes a supervisory control framework that balances energy capture with structural reliability through three key innovations: (1) upstream-based inflow sensing for real-time capture of free-stream wind, (2) fatigue-responsive optimization constrained by a dynamic actuation quota system with adaptive yaw activation, and (3) a bidirectional threshold adjustment mechanism that redistributes unused actuation allowances and compensates for transient quota overruns. …”
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Personalized EEG-guided brain stimulation targeting in major depression via network controllability and multi-objective optimization by Aihua Wang, Jingnan Sun

“…Results MDD patients exhibited hyperconnectivity in PLV and AEC and reduced wPLI compared to controls. Control nodes in MDD were more centrally distributed, particularly around Cz in alpha and beta bands. …”
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Soil salinity dynamics and optimal groundwater depth for salt control in farmland under surface irrigation and subsurface drainage by ZHANG Zhixiang, LIU Songtao, LI Qian, HE Jun, LI Haichao, ZHANG Wei, ZHANG Peipei, MA Xiaolong, ZHANG Hefei

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Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…Firstly, a novel multi-objective multi-phase optimal control problem is formulated to synthesize the comprehensive flight missions, incorporating additional requirements such as fuel consumption, maneuverability, and agility of the morphing aircraft. …”
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Development and Design of an Optimal Fuzzy Logic Two Degrees of Freedom-Proportional Integral Derivative Controller for a Two-Area Power System Using the Bee Algorithm by Sitthisak Audomsi, Supannika Wattana, Narongkorn Uthathip, Worawat Sa-ngiamvibool

“…This study introduces a fuzzy logic-based two-degree-of-freedom PID (FL2DOF-PID) controller that is optimized using the Bee Algorithm (BA) to control the load frequency in a two-area linked power system that has both reheat thermal power plants and hydro power plants. …”
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Observer-Based Deep Reinforcement Learning for Robust Missile Guidance and Control by Wenwen Wang, Zhihua Chen

“…This study presents a deep reinforcement learning (DRL)-based missile guidance system that integrates an extended state observer (ESO) using a leaky proximal policy optimization algorithm. The ESO estimates the state and disturbance information for the missile attitude control system, which is then used as an input for the DRL control. …”
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Usability and Perceived Efficiency of an Adaptive Route Optimization Solution for Commercial Vehicles by Florian Anghelache, Nicolae Goga, Constantin Viorel Marian, Dan Alexandru Mitrea, Ionel-Bujorel Pavaloiu

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Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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Tracking Systems for Orientation of Solar Panels and Optimization of their Positioning Using Three-coordinate Platforms by Chalbash O.H.

“…The result of our work is a numerical method that solves the optimization problem for controlling the motion of a set of platforms and a rational kinematic scheme for three coordinate platforms. …”
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