Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives by S. G. Istomin, K. I. Domanov, A. P. SHATOKHIN, I. N. Denisov

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Modeling and control of automatic voltage regulation for a hydropower plant using advanced model predictive control by Ebunle Akupan Rene, Willy Stephen Tounsi Fokui

“…This study examined the modeling and control of AVR in hydroelectric power plants using model predictive control (MPC), which utilizes an extensive mathematical model of the voltage regulation system to optimize the control actions over a defined prediction horizon. …”
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Optimal Controller Design for a Mobile Robot Using Genetic Algorithm and Adaptive PID Controller by Jin-Hyun Park

“…This paper addresses the challenge of enabling a mobile robot to reach target coordinates and posture in minimal time by tackling the complexities of kinematic optimal control problems. Determining optimal control gains is analytically challenging, especially when incorporating dynamic models. …”
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An improved model-free predictive voltage control for grid-forming inverter with adaptive ultra-local data-model in renewable energy system by Yifu Lin, Junwei Zhu, Feng He

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Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

“…This study aims to design an optimal load frequency control (LFC) system based on a proportional-integral (PI) controller for a two-area power system. …”
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<inline-formula><tex-math notation="LaTeX">$\mathcal {H}_{2}$</tex-math></inline-formula>- and <inline-formula><tex-math notation="LaTeX">$\mathcal {H}_\infty$</tex-math></inline-formula>-Optimal Model Predictive Controllers for Robust Legged Locomotion by Abhishek Pandala, Aaron D. Ames, Kaveh Akbari Hamed

“…To this end, we build upon existing optimization-based control paradigms, particularly quadratic programming (QP)-based model predictive controllers (MPCs). …”
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Enhanced Modeling and Control of Organic Rankine Cycle Systems via AM‐LSTM Networks Based Nonlinear MPC by Yang Sun, Ming Du, Xiao Qi

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MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions by Andranik S. Akopov

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Fuzzy Modelling of Knee Joint with Genetic Optimization by B. S. K. K. Ibrahim, M. O. Tokhi, M. S. Huq, R. Jailani, S. C. Gharooni

“…The developed model can be used for simulation of joint movements as well as for control development. …”
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DC-Bus Voltage Oscillation Suppressor Based on Active Capacitor and Its Control Method by YANG Jipei, YANG Ling, WEI Maohua

“…The design offers advantages such as plug-and-play functionality, strong applicability, and flexible control. In addition, by analyzing the operating mode and mechanism of the oscillation suppressor, a small signal model is established, and the influence of controller parameters on the stability and dynamic performance of the suppressor is analyzed, based on which the controller parameter optimization scheme is proposed. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. The proposed approach optimizes GWO by improving prey selection, encircling mechanisms, and initial population generation, while enhancing AE dropout functionality for improved model generalization. …”
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Fair Optimization and Networks: Models, Algorithms, and Applications by Wlodzimierz Ogryczak, Hanan Luss, Dritan Nace, Michał Pióro

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The coupled model of water delivery and distribution regulation for single-canal pool systems by Ke Zhou, Yu Fan, Zhanyi Gao, Haorui Chen, Xinrong Zheng, Yun Yang, Jie Liu

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A Deep Learning Model Using Transformer Network and Expert Optimizer for an Hour Ahead Wind Power Forecasting by Anushalini Thiyagarajan, B. Sri Revathi, Vishnu Suresh

“…Optimizing system efficiency is also crucial thus fine-tuning of PID controller parameters using a self-adaptive mountain gazelle optimizer (SA-MGO) is employed to achieve minimal Mean Squared Error (MSE) and THD. …”
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SETPOINT OPTIMIZATION FOR THE CONTROL SYSTEM OF THE MOTOR GRADER IN HEAVYLOAD MODE by V. A. Meshcheryakov, V. V. Weber

“…The optimal setpoint is generating to the signal estimations, specifically to the measured digging force and the wheels slip ratio during the previous stroke of the motor grader.There searchincludes:development of the blade control system functional diagram including the setpoint former;meaningful estimation of the slip ratio signal for control purposes;development of the setpoint forming algorithm for a microprocessor control unit;program realization of the motor grader workflow model and simulation;development of the algorithm to compose the lookup table containing optimal setpoint values and based on simulation results;dependence of optimal setpoint on the incoming signal estimations.Results. …”
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Intelligent Optimization Analysis of the Cholera Epidemic Model by Muath Awadalla, Tahir Nawaz Cheema, Ali Raza, Eugenio Rocha, Sharafat Ali, Muhammad Bilal

“…These findings underscore the potential of intelligent optimization to enhance the precision of epidemic predictions and inform more effective, targeted cholera control strategies. …”
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A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization by Xue WANG, Lin LIU, Wendi LIU, Yanpeng ZHAI, Ling YANG, Fangyuan XU, Yan GAO, Jixin ZHANG

“…A comparison is made between the optimized control system and the non-optimized system. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…In recent years, intelligent algorithms represented by data-driven algorithms and heuristic algorithms have gradually emerged, showing great potential for development in hydrodynamic noise optimization applications. To this end, this paper systematically reviews progress in the application of intelligent algorithms in hydrodynamic noise research, focusing on their advantages in the optimal design of noise sources, noise prediction, and control strategy optimization. …”
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Time to achieve optimal glycemic control and its determinants among diabetes mellitus patients receiving treatment: a retrospective study by Maru Zewdu Kassie, Chekol Alemu, Habitamu Wudu, Buzuneh Tasfa Marine, Asaye Alamneh Gebeyehu

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Mathematical Model of Optimal Development Enterprise Economics by E. V. Kasatkina, D. D. Vavilova

“…The mathematical model of optimal development is applied to the economic system of the enterprise of PJSC NK “Rosneft”.Conclusion. …”
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