Optimal Midcourse Guidance with Terminal Relaxation and Range Convex Optimization by Jiong Li, Jinlin Zhang, Jikun Ye, Lei Shao, Xiangwei Bu

“…The study first derived a range-domain dynamics model with the angle of attack and bank angle as dual control inputs, augmented with path constraints including heat flux limitations, to formulate the midcourse guidance optimization problem. …”
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Chaos Control in Fractional Order Smart Grid with Adaptive Sliding Mode Control and Genetically Optimized PID Control and Its FPGA Implementation by Anitha Karthikeyan, Karthikeyan Rajagopal

“…In the first method we derive fractional order adaptive sliding mode control (FOASMC) algorithm to control chaotic oscillations and in the second method we used genetically optimized fractional order PID controllers (GAFOPID) for chaos control. …”
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Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…On this basis, in order to solve the problem that the DP algorithm is difficult to realize online control, the optimal solution of DP energy management corresponding to the optimal transmission parameters is integrated, an effective method to extract the optimal control rules of DP is designed, and an energy management strategy based on the optimal control rules is established to realize online control of hybrid electric mining trucks. …”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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Multi-objective optimization of a novel control algorithm and scheduling procedure for optimal use of energy storage systems by Amirhossein Hamzeiyan, Armin Ebrahimi

“…Peak shaving with energy storage systems (ESSs) is a promising approach to optimize energy use, reduce costs, and ensure a more reliable power grid.This paper aims to improve the performance of a novel control algorithm for efficient peak shaving by using sensitivity analysis and multi-objective optimization techniques. …”
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Optimization of energy balances of a photovoltaic power plant with electrochemical and thermal storage of solar energy by B. V. Lukutin, Kadhim Karrar Hameed

“…An optimal algorithm for the conditions under study is proposed for the operation of the solar energy supply system and its elements. …”
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Carrying out entrance control of “Informatics” students’ knowledge with use of specialized computer system by L. V. Larina

Subjects: “…mathematical modeling…”
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Stability analysis of a modified general SEIR model with harmonic mean type of incidence rate by Sant Ram Chawla, Saeed Ahmad, Wedad Albalawi, Asaf Khan, Ismail Shah, Mohamed R. Eid

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Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms by Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen

“…This paper develops chiller plant models in OpenAI Gym environments to evaluate different RL algorithms for optimizing condenser water loop control. …”
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Novel Nonlinear Control and Optimization Strategies for Hybrid Renewable Energy Conversion System by Z. Jai Andaloussi, A. Raihani, A. El Magri, R. Lajouad, A. El Fadili

“…To achieve these objectives, a novel control strategy is developed, based on a nonlinear model of the whole “converters-generators” association. …”
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Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings by Ibrahim Abubakar, Atte Putkonen, Marek Rehtla, Tuomo Lindh, Stijn Derammelaere, Niko Nevaranta

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Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks by Cunwu Han, Dehui Sun, Song Bi, Lei Liu, Zhengxi Li

“…A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. …”
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A comprehensive review of flexible alternating current transmission system (FACTS): Topologies,applications, optimal placement, and innovative models by Mehrdad Tarafdar Hagh, Mohammad Ali Jabbary Borhany, Kamran Taghizad-Tavana, Morteza Zare Oskouei

“…This study investigates modified UPFC models. Besides UPFC, an overview of DPFC will be presented, and the critical differences between these advanced power flow control technologies will be discussed. …”
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Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing by Chunyu Song, Xiaomin Guo, Jianghua Sui

“…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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A multi-objective optimization approach for the virtual coupling train set driving strategy by Junting Lin, Maolin Li, Xiaohui Qiu

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A Fully Coupled Numerical Simulation Model for Bottom-Water Gas Reservoirs Integrating Horizontal Wellbore, ICD Screens, and Zonal Water Control: Development, Validation, and Optimization Strategies by Yongsheng An, Zhongwen Sun, Yiran Kang, Guangning Yang

“…Overall, the proposed model offers a practical and robust tool for optimizing completion design and water control strategies in complex bottom-water gas reservoirs.…”
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Optimization for route selection under the integration of dispatching and control at the railway station: A 0‐1 programming model and a two‐stage solution algorithm by Liang Ma, Kun Yang, Jin Guo, Yuanli Bao, Wenqing Wu

“…Therefore, this paper proposes an optimization method for the route selection under the integration of dispatching and control at the railway station. …”
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The Active Frequency Control Strategy of the Wind Power Based on Model Predictive Control by Ya-ling Chen, Yin-peng Liu, Xiao-fei Sun

“…According to the prediction information, the output power control signal of the model predictive controller in the wind turbine can be optimized. …”
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Analysis of DRM game control by Guo-jun MA, Qing-qi PEI, Xiao-hong JIANG

“…To overcome the limitations of individual rationality,a game control model was proposed.The controller of game is global rational.To achieve global optimization,the controller chooses strategies according to the control goal,and the controlled chooses the strategies according to the principle of individual rationality.Based on the model and the analysis of relationships and actions of DRM value chain,a model of DRM game control is presented.Content provider actions as the controller of the game,and the global optimization strategies which the content provider choose are discussed,which provides the guidance theory of rational DRM applications.…”
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Fractional-order SIR model for ADHD as a neurobiological and genetic disorder by Zeeshan Afzal, Mansoor Alshehri

“…Abstract This study develops and analyzes a fractional-order Susceptible-Infected-Recovered (SIR) epidemiological model to investigate the transmission dynamics and control of Attention Deficit Hyperactivity Disorder (ADHD) within a population. …”
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