Search Results - "Tang, Xiuchuan"

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  1. 1

    Data driven discovery of cyber physical systems by Yuan, Ye, Tang, Xiuchuan, Zhou, Wei, Pan, Wei, Li, Xiuting, Zhang, Hai-Tao, Ding, Han, Goncalves, Jorge

    Published in Nature communications (25-10-2019)
    “…Cyber-physical systems embed software into the physical world. They appear in a wide range of applications such as smart grids, robotics, and intelligent…”
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    Journal Article
  2. 2

    Dynamical network size estimation from local observations by Tang, Xiuchuan, Huo, Wei, Yuan, Ye, Li, Xiuting, Shi, Ling, Ding, Han, Kurths, Jürgen

    Published in New journal of physics (01-09-2020)
    “…Here we present a method to estimate the total number of nodes of a network using locally observed response dynamics. The algorithm has the following…”
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    Journal Article
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    DeceFL: a principled fully decentralized federated learning framework by Yuan, Ye, Liu, Jun, Jin, Dou, Yue, Zuogong, Yang, Tao, Chen, Ruijuan, Wang, Maolin, Xu, Lei, Hua, Feng, Guo, Yuqi, Tang, Xiuchuan, He, Xin, Yi, Xinlei, Li, Dong, Yu, Wenwu, Zhang, Hai-Tao, Chai, Tianyou, Sui, Shaochun, Ding, Han

    Published in National Science Open (01-01-2023)
    “…Traditional machine learning relies on a centralized data pipeline for model training in various applications; however, data are inherently fragmented. Such a…”
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    Journal Article
  5. 5

    Expectation maximization based sparse identification of cyberphysical system by Tang, Xiuchuan, Dong, Yunlong

    “…A hybrid dynamics modeling method based on expectation‐maximization (EM) is proposed in this article. The dynamics include continuous dynamic equations that…”
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    Journal Article
  6. 6

    Principled reward shaping for reinforcement learning via lyapunov stability theory by Dong, Yunlong, Tang, Xiuchuan, Yuan, Ye

    Published in Neurocomputing (Amsterdam) (14-06-2020)
    “…Reinforcement learning (RL) suffers from the designation in reward function and the large computational iterating steps until convergence. How to accelerate…”
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    Journal Article
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    Model Predictive Control Method for Multi-motor System with Dead Zone by Fan, Genglin, Tang, Xiuchuan, Shen, Yi, Deng, Linan

    “…The multi-motor system shows excellent performance in achieving high-precision control in the applications with large load inertia, such as large-aperture…”
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    Conference Proceeding
  10. 10

    Machine Discovery of Partial Differential Equations from Spatiotemporal Data by Yuan, Ye, Li, Junlin, Li, Liang, Jiang, Frank, Tang, Xiuchuan, Zhang, Fumin, Liu, Sheng, Goncalves, Jorge, Voss, Henning U, Li, Xiuting, Kurths, Jürgen, Ding, Han

    Published 15-09-2019
    “…The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The method, called…”
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    Journal Article
  11. 11

    Data-driven Discovery of Cyber-Physical Systems by Yuan, Ye, Tang, Xiuchuan, Pan, Wei, Li, Xiuting, Zhou, Wei, Zhang, Hai-Tao, Ding, Han, Goncalves, Jorge

    Published 01-10-2018
    “…Cyber-physical systems (CPSs) embed software into the physical world. They appear in a wide range of applications such as smart grids, robotics, intelligent…”
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    Journal Article