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  1. 1661

    Adaptive Compensation Control of Closed-chain Lower Limb Rehabilitation Robots Based on the RBF Neural Network by Li Dongqi, Qin Jianjun, Sun Maolin, Zheng Haoran, Li Wei

    Published 2024-04-01
    “…In the rehabilitation training process of lower limb rehabilitation robots, the existence of uncertain factors such as model parameters and environmental interference will affect the accuracy of trajectory tracking of the robot. …”
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    Article
  2. 1662

    Adaptive integral sliding mode control strategy for vehicular platoon with prescribed performance by Yiguang Wang, Xubin Tang, Yongqiang Jiang, Xiaojie Li, Xiaoyan Zhan

    Published 2025-04-01
    “…The performance boundaries defined by TPPF are distributed on the same side of the coordinate system, which leads to a more compact convergence process of the tracking error, and improves the tracking performance. …”
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  3. 1663

    Music Rhythm Detection Algorithm Based on Multipath Search and Cluster Analysis by Shuqing Ma

    Published 2021-01-01
    “…This algorithm completely uses the PCM signal as the input, which is more robust than the clustering algorithm. The whole process is carried out in the time domain, and the amount of calculation is much smaller than the frequency domain calculation of multipath tracking, and the linear relationship with the rhythm of the music is much better than the filter bank algorithm. …”
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    Article
  4. 1664

    Interface‐Based Parallel and Multi‐Rate Real‐Time Simulations for Thermal‐Electric Systems by Yanbo Jia, Pengfei Han, Zhaohui Shi, Lei Zhang

    Published 2025-05-01
    “…Then, a real‐time dynamic simulation platform for the TESs is developed, which is utilized to verify the effectiveness of the proposed method in thermal power tracking and electrical power tracking modes. The simulation results validate that the proposed multi‐rate simulation method for the TESs in this paper can effectively reflect the dynamic process and enhance the simulation efficiency.…”
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  5. 1665

    Study on the pattern of train arrival headway time in high-speed railway by Changhai Tian, Shoushuai Zhang

    Published 2024-06-01
    “…The goal of this article is to study how to compress the train arrival tracking interval. Design/methodology/approach – By simulating the process of dense train groups arriving at the station and stopping, the headway between train arrivals at the station was calculated, and the pattern of train arrival headway was obtained, changing the traditional understanding that the train arrival headway is considered the main factor limiting the headway of trains. …”
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  6. 1666
  7. 1667

    Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts by Z. Wang, J. Yuan

    Published 2024-12-01
    “…<p>The convective processes of precipitation and the production of anvil clouds determine the Earth's water and radiative budgets. …”
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  8. 1668

    A crowding free digital interface to help French-speaking children learn to read. by Viet Chau Linh Nguyen, Guillaume Lio, Thomas Perret, Alice Gomez, Angela Sirigu

    Published 2025-01-01
    “…Letter crowding in the peripheral visual field has been identified as a key interference process during reading acquisition. To reduce crowding and enhance selective attention, we designed a new way to read (Digit-tracking) in which words and sentences appear blurred. …”
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    Article
  9. 1669

    Multi-objective Predictive Control of Gas Turbine System Based on T-S Fuzzy Model by Guolian HOU, Xiaoyan DAI, Linjuan GONG, Haixin XU, Jianhua ZHANG

    Published 2020-11-01
    “…Then, in order to improve the settling speed of load tracking process, the simultaneous heat transfer search algorithm is employed to optimize the cost function and determine the control variables. …”
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    Article
  10. 1670

    Model-Free Adaptive Control of pH Value of Wet Desulfurization Slurry under Switching of Multiple Working Conditions by Jian Liu, Xiaoli Li, Jihan Li, Kang Wang, Fuqiang Wang, Guimei Cui

    Published 2020-01-01
    “…According to the pH control process of the slurry of wet flue gas desulfurization process, a model-free adaptive control algorithm based on compact form dynamic linearization (CFDL-MFAC) is designed to realize the tracking control of the pH value of the slurry. …”
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    Article
  11. 1671

    Design of AUV controller based on improved PPO algorithm by Desheng XU, Chunhui XU

    Published 2025-02-01
    “…ResultsThe experimental results show that the proposed algorithm can improve the convergence speed by 25.00% and the reward steady state value by 10.81%, effectively improving the training process. The proposed algorithm can realize static-free tracking in the simulation environment. …”
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  12. 1672
  13. 1673

    Predictive Functional Control-Based Zenith Pass Controller Design for Roll-Pitch Seeker by Xinchun Wang, Bo Mo, Xuan Li, Shangen Su

    Published 2020-01-01
    “…Simulation results have confirmed that the proposed scheme can significantly mitigate the zenith pass problem and be applied to the real-time tracking process.…”
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  14. 1674

    Knowledge Bases and Representation Learning Towards Bug Triaging by Qi Wang, Weihao Yan, Yanlong Li, Yizheng Ge, Yiwei Liu, Peng Yin, Shuai Tan

    Published 2025-06-01
    “…In fact, this structured information, which plays an important role in bug triaging, reflects the process of bug tracking and the historical activities. …”
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  15. 1675

    Guideline for ethics review of clinical trials by Medical Ethics Society of China Anti-Cancer Association, Minghuang Hong, Zhao Yan

    Published 2025-02-01
    “…The guideline emphasizes that benefit-risk assessment should be the primary task of ethical review in clinical trials, proposes trial designs that balance science and ethics to promote pharmaceutical innovation, and requires proactive tracking review to control risks in the trial process. …”
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    Article
  16. 1676

    Online Attendance System for Village Officials: A Case Study on the Application of Android Technology by Syaiful Syaiful, Widya Astutik, Novira Fitriana, Ayu Febriana Laila Fatika Agustini

    Published 2025-04-01
    “…The attendance tracking process for village officials in Sogaan Village has traditionally been conducted manually, leading to issues such as data inaccuracies, delayed reporting, and time wastage. …”
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  17. 1677

    Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

    Published 2017-03-01
    “…These new methods offer interesting possibilities for processing, classifying and interpreting eye-tracking data. …”
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    Article
  18. 1678

    Persistent cognitive deficits in ACL-injured athletes despite of rehabilitation: an observational longitudinal study by Jesús Jiménez-Martínez, Jesús Jiménez-Martínez, Francisco Alarcón-López, Luis Javier Chirosa-Ríos, Luis Javier Chirosa-Ríos, Alejandro Gutiérrez-Capote, Alejandro Gutiérrez-Capote, David Cárdenas-Vélez, David Cárdenas-Vélez

    Published 2025-07-01
    “…Recently, some studies have analyzed the relationship between cognition and ACL injury, but how cognitive performance evolves throughout the rehabilitation process has not yet been explored. This study assessed how cognitive performance evolves at three points in the ACL injury recovery process: preoperatively, postoperatively, and at the end of the rehabilitation process. …”
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  19. 1679

    Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

    Published 2024-12-01
    “…Notably, Green ILC reduces energy consumption by prioritizing efficiency, making it particularly suitable for energy-intensive applications such as robotics, manufacturing, and process control. While a slight decrease in tracking accuracy is observed, this trade-off is acceptable for scenarios where energy efficiency is paramount. …”
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  20. 1680

    Deep Learning-Based Predictive Control of Injection Velocity in Injection Molding Machines by Zhigang Ren, Yaodong Li, Zongze Wu, Shengli Xie

    Published 2022-01-01
    “…An effective hybrid intelligent control approach with less computing resources for real-time implementation based on the deep learning (DL) method to mimic the classical model predictive control rule is developed to deal with the tracking control of the injection speed. The proposed method utilizes the gated recurrent unit neural network to learn and predict the optimal time series control process data produced by the traditional model predictive controller. …”
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