Unit combination model considering the grid-forming control parameters of new energy station by Hui HUANG, Haoyin DING, Zhaohui QIE, Haijun CHANG, Zhiguang HUANG, Rui LYU

“…The model incorporates dynamic frequency constraints and grid-forming control parameters，utilizing the shedding capacity stored through new energy curtailment. …”
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Co-Optimization of Vibration Suppression and Data Efficiency in Robotic Manipulator Dynamic Modeling by Xiaowei Han, Kunru Wu, Nanmu Hui

Subjects: “…dynamic modeling…”
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MODELING AND OPTIMIZATION ON ENERGY CONSUMPTION OF A HYBRID POWER INSTALLATION FOR A VEHICLE by А. Y. Afanasiev, N. A. Rybushkin, K. A. Kilimanov

“…Synchronous electric drive and internal combustion engine models were used, convenient for research, analytical and numerical methods of parametric optimization and optimal control were used. …”
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Queueing modeling and optimization of hybrid electric vehicle infrastructures using evolutionary algorithms by Shreekant Varshney, Manthan Shah, Bhasuru Abhinaya Srinivas, Mayank Gupta, Kaibalya Prasad Panda

“…The current study proposes a queueing-based stochastic modeling incorporating working vacations, vacation interruptions, and arrival control strategies to enhance service operations. …”
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Research on Energy-Saving Control of Automotive PEMFC Thermal Management System Based on Optimal Operating Temperature Tracking by Qi Jiang, Shusheng Xiong, Baoquan Sun, Ping Chen, Huipeng Chen, Shaopeng Zhu

“…Subsequently, the PEMFC power–temperature coupling curve was experimentally determined under multiple operating conditions to serve as the reference trajectory for TMS multi-objective optimization. For MPC controller design, the TMS model was linearized and discretized, yielding a predictive model adaptable to different load demands for stack temperature across the full operating range. …”
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Heating, Ventilation, and Air Conditioning (HVAC) Temperature and Humidity Control Optimization Based on Large Language Models (LLMs) by Xuanrong Zhu, Hui Li

“…Heating, Ventilation, and Air Conditioning (HVAC) systems primarily consist of pre-cooling air handling units (PAUs), air handling units (AHUs), and air ducts. Existing HVAC control methods, such as Proportional–Integral–Derivative (PID) control or Model Predictive Control (MPC), face limitations in understanding high-level information, handling rare events, and optimizing control decisions. …”
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Development of An Optimal Low-Noise Voice-Coil Actuator for Precision Motion Control Applications by Suorena Saeedi, Ali Sadighi, Masoud Shariat Panahi

“…On the other hand, developing a model that captures the nonlinear features of actuator dynamics is essential for advancing high-performance controllers. …”
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Optimal Driving Torque Control Strategy for Front and Rear Independently Driven Electric Vehicles Based on Online Real-Time Model Predictive Control by Hang Yin, Chao Ma, Haifeng Wang, Zhihao Sun, Kun Yang

“…The torque control problem is framed with a nonlinear model predictive control (MPC) method, utilizing state-space equations as representations of vehicle dynamics. …”
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Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Control Analysis by Nawaf L. Alsowait, Mohammed M. Al-Shomrani, Ismail Abdulrashid, Salihu S. Musa

“…Our methodology encompasses mechanistic dynamic modeling, optimal control analysis, parameter estimation, model fitting, and sensitivity analyses to study YF transmission dynamics, ensuring the robustness of control measures. …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…This paper describes the task of controlling a robot to enable energy savings in the case of one- or two-axis failure. …”
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The Effects of Control Domain Position on Optimal Control of Cardiac Arrhythmia by Kin Wei Ng, Ahmad Rohanin

“…We study the effects of control domain position on optimal control problem of cardiac arrhythmia. …”
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Optimizing peanut vine-inversion operations via intelligent control and semantic segmentation by Haiyang Shen, Man Gu, Hongguang Yang, Jie Ling, Lili Shi, Feng Wu, Fengwei Gu, Jiazhuang Tan, Zhichao Hu

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Constant force grinding controller for robots based on SAC optimal parameter finding algorithm by Chosei Rei, Qichao Wang, Linlin Chen, Xinhua Yan, Peng Zhang, Liwei Fu, Chong Wang, Xinghui Liu

“…The algorithm is used to find the optimal controller compensation term parameters and applied to the PID controller to complete the compensation through the inverse kinematics of the robot to achieve constant force grinding control. …”
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VIBRATION OPTIMIZATION AND CONTROL OF SEVEN-AXLE HYBRID COUPLING HYDRO-PNEUMATIC SUSPENSION VEHICLE by TIAN WenPeng, XIA Feng, XU XinXin

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Analisis Kontrol Optimal Model Matematika Penyebaran Penyakit Mosaic pada Tanaman Jarak Pagar by Adiluhung Setya Pambudi, Fatmawati Fatmawati, Windarto Windarto

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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

“…For patients with stroke, hemiplegia and ankle injuries, ankle rehabilitation robots can provide personalized rehabilitation treatment programs through quantitative evaluation and precise control. In this paper, based on differential evolution (DE) optimization algorithm and fuzzy nonlinear auto regressive with exogenous inputs (NARX) model, an iterative learning model predictive controller is constructed to achieve accurate and robust trajectory tracking control of an ankle rehabilitation robot driven by pneumatic muscle. …”
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Optimal and suboptimal protocols for a mathematical model for tumor anti-angiogenesis in combination with chemotherapy by Urszula Ledzewicz, Helmut Maurer, Heinz Schättler

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Benchmarking Model Predictive Control and Reinforcement Learning-Based Control for Legged Robot Locomotion in MuJoCo Simulation by Shivayogi Akki, Tan Chen

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Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization by Oussama Aoun

Subjects: “…particle swarm optimization…”
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Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability by Michael Fink, Annalena Daniels, Dirk Wollherr, Marion Leibold

“…This paper presents a robust formulation of Time-Optimal Model Predictive Control for Linear Time-Variant systems that leverages backward reachability analysis for time-optimality while achieving constraint handling and disturbance rejection. …”
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