Planejamento e controle da produção de cilindros para laminação: um estudo de caso quantitativo Production management of rolling mill rolls: a quantitative study case by Laerte José Fernandes, Luis Alberto Osés Rodriguez, Anderson Ribeiro Correia, Fernando Augusto Silva Marins

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Planejamento e controle da produção de cilindros para laminação: um estudo de caso quantitativo Production management of rolling mill rolls: a quantitative study case by Laerte José Fernandes, Luis Alberto Osés Rodriguez, Anderson Ribeiro Correia, Fernando Augusto Silva Marins

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ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) by Dinda Anisa' Maulina, Chairul Imron

“…Then, using Pontryagin's minimum principle, the optimal control problem is solved numerically by the 4th-order Runge-Kutta method. …”
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Design of Instrumentation and Control Components of Power Distribution Systems by Y. A. Klimenko, Y. E. Lvovich, A. P. Preobrazhensky

“…Accordingly, there are no ready-made subsystems with control and optimization algorithms adequate to the tasks under consideration. …”
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Achieving Network Stability via Optimal Pinning Control in Weighted Complex Networks by Saber Jafarizadeh

“…Interconnected systems forming complex networks are ubiquitous in many man-made and natural phenomena. When individual systems are aligned towards a desired trajectory, their synchronization’s stability depends on the network’s controllability, often achieved through pinning control. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The subject of this paper is to develop a method for synthesizing stable neural network controllers with optimization of transient process parameters. …”
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Controllability Analysis and Optimization of Hydrocannon Nozzle Shape Based on Direct Extreme Approach by V. K. Tolstykh, Yu. V. Dmitruk

“…Introduction. Controllability analysis is a required stage for the correct formulation and solution of any optimal control problem. …”
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Rotating antibiotics selects optimally against antibiotic resistance, in theory by Robert E. Beardmore, Rafael Peña-Miller

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Evaluation and Characterization of High-Uniformity SiN_x Thin Film with Controllable Refractive Index by Home-Made Cat-CVD Based on Orthogonal Experiments by Caifang Li, Minghui Li, Jinsong Shi, Haibin Huang, Zhimei Li

“…This study focused on developing a method for the preparation of uniform SiN_x thin film with a controllable refractive index using home-made catalytic chemical vapor deposition (Cat-CVD) equipment. …”
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Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization by Bin Chen, Zeke Li, Bijing Liu, Haiwei Fan, Qiutian Zhong

“…Key innovations include real-time load scheduling, demand response optimization, and integration of controllable and non-controllable loads, enhancing flexibility and efficiency. …”
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A tutorial review of policy iteration methods in reinforcement learning for nonlinear optimal control by Yujia Wang, Xinji Zhu, Zhe Wu

“…Reinforcement learning (RL) has been a powerful framework for designing optimal controllers for nonlinear systems. This tutorial review provides a comprehensive exploration of RL techniques, with a particular focus on policy iteration methods for the development of optimal controllers. …”
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Reinforcement Learning for Stability-Guaranteed Adaptive Optimal Primary Frequency Control of Power Systems Using Partially Monotonic Neural Networks by Hamad Alduaij, Yang Weng

“…The structural form of partially monotonic neural networks is used for the controller design to that end. Flexibility is allowed by the design when adaptation to changes to the system parameters is made, while the Lyapunov stability guarantee is retained. …”
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OPTIMIZING PROJECT-BASED TRY ACTIVITY TO IMPROVE THE DIMENSION OF STUDENTS’ COGNITIVE PROCESS by I Wayan Widiana, I Made Suarjana

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Mechanical Performance of Concrete Made with Recycled Aggregates from Concrete Pavements by Yancong Zhang, Lingling Gao, Wei Bian

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Interdepartmental Optimization in Steel Manufacturing: An Artificial Intelligence Approach for Enhancing Decision-Making and Quality Control by José M. Bernárdez, Jonathan Boo, José I. Díaz, Roberto Medina

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An improved preconditioned conjugate gradient method for unconstrained optimization problem with application in Robot arm control by Lawal Muhammad, Mohammad Y. Waziri, Ibrahim Mohammed Sulaiman, Issam A.R. Moghrabi, Aceng Sambas

“…This made the methods easy to use and presented a viable way to increase the effectiveness of unconstrained optimization techniques. …”
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Edge computing based english translation model using fuzzy semantic optimal control technique. by Na Wang

“…Reinforcement Learning (RL) and Proximal Policy Optimisation (PPO) techniques are implemented as optimal control techniques to optimize the translation procedures and enhance the quality and precision of generated translations. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…This paper addresses the challenge of speed tracking by proposing a genetic algorithm-based optimization method for PID controller parameters. Traditional PID controllers often struggle with maintaining accuracy and response time in highly variable conditions, but by optimizing these parameters through the genetic algorithm, substantial improvements in speed control precision and adaptability can be achieved, enhancing the vehicle’s ability to navigate real-world driving scenarios with greater stability. …”
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Optimal Management in the Operation of Complex Technical Systems by Dyadyura K., Oborskyi G., Prokopovych I., Khamitov V., Holubiev M.

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Energy Absorption of Auxetic Metallic Yield Damper Made of Shape Memory Alloys by Milad Masodi, Ahmad Ganjali, Hamidreza Irani, Aboozar Mirzakhani

“…It has been verified through a finite element analysis that the proposed element is both highly ductile and capable of dissipating high amounts of energy. In the optimal state, the specific absorbed energy and the ductility of the proposed asbestos damper made of memory alloy are 39.2 J/kg and 44, respectively, which are about 114% and 81% higher than the corresponding steel dampers. …”
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