Showing 1 - 20 results of 23 for search '"Parameter identification"', query time: 0.08s Refine Results
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    Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries by A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Ezzeddine Touti, Ahmed I. Omar

    Published 2025-08-01
    “…The suggested battery model, parameter identification algorithm, and optimized filter have been tested and validated using real‐time datasets from various sources, including the NASA online battery dataset, data collections of Panasonic 18650PF and LG 18650HG2 batteries. …”
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    Article
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    Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

    Published 2023-12-01
    “…The effectiveness and advancement of the parameter identification algorithm proposed in this paper were verified. …”
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    Article
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    On-line Diagnosis Technology for the Shock Absorbers on Subway Vehicle Based on RLS by WANG Yu, LYU Yu, ZHAO Muhua

    Published 2018-01-01
    “…Diagnostic results show that the RLS algorithm has better tracking convergence effect in the shock absorber online parameter identification.…”
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    Article
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    Co-Optimization of Vibration Suppression and Data Efficiency in Robotic Manipulator Dynamic Modeling by Xiaowei Han, Kunru Wu, Nanmu Hui

    Published 2025-07-01
    “…In response to the limitations of vibration suppression performance caused by the difficulty in accurately modeling nonlinear friction during robotic manipulator dynamics parameter identification, this paper proposes a hybrid identification method based on a Broad Learning System (BLS) optimized by Particle Swarm Optimization (PSO). …”
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    Operational Modal Analysis of Civil Engineering Structures with Closely Spaced Modes Based on Improved Hilbert–Huang Transform by Xu-Qiang Shang, Tian-Li Huang, Yi-Bin He, Hua-Peng Chen

    Published 2024-11-01
    “…Hilbert–Huang transform (HHT), a widely used method for modal parameter identification, first applies empirical mode decomposition (EMD) to decompose the acquired response and then uses the Hilbert transform (HT) to identify the modal parameters. …”
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    Decentralized coordinated emergency frequency control strategy for renewables-rich power systems based on multi-agent reinforcement learning by Zhenglong Sun, Junpeng Han, Weihan Chen, Rui Zhang, Yong Liu, Yoash Levron, Juri Belikov

    Published 2025-10-01
    “…Combined with the system frequency response (SFR) model parameter identification method, the grid frequency regulation capability of different fault conditions is evaluated. …”
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    Article