A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 10 Issue 1
Jan.  2023

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2023  >  10(1): 290-293
Z. H. Peng, M. G. Lv, L. Liu, and D. Wang, “Data-driven learning extended state observers for nonlinear systems: Design, analysis and hardware-in-loop simulations,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 290–293, Jan. 2023. doi: 10.1109/JAS.2023.123051
Citation: Z. H. Peng, M. G. Lv, L. Liu, and D. Wang, “Data-driven learning extended state observers for nonlinear systems: Design, analysis and hardware-in-loop simulations,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 290–293, Jan. 2023. doi: 10.1109/JAS.2023.123051
shu

Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations

doi: 10.1109/JAS.2023.123051

  • School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China

More Information
    Abstract
    • FullText(HTML)
  • loading
    • References(27)
  • [1]
    X. Ge, Q.-L. Han, J. Wang, and X.-M. Zhang, “A scalable adaptive approach to multi-vehicle formation control with obstacle avoidance,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 990–1004, Jun. 2022. doi: 10.1109/JAS.2021.1004263
    [2]
    W.-H. Chen, J. Yang, L. Guo, and S. Li, “Disturbance–Observer-based control and related methods–An overview,” IEEE Trans. Industrial Electronics, vol. 63, no. 2, pp. 1083–1095, Feb. 2016. doi: 10.1109/TIE.2015.2478397
    [3]
    B.-Z. Guo and Z.-L. Zhao, “Active disturbance rejection control: Theoretical perspectives,” Communi. Infor. and Syst., vol. 15, no. 3, pp. 361–421, Oct. 2015. doi: 10.4310/CIS.2015.v15.n3.a3
    [4]
    J. Q. Han, “From PID to active disturbance rejection control,” IEEE Trans. Industrial Electronics, vol. 56, no. 3, pp. 900–906, Feb. 2009. doi: 10.1109/TIE.2008.2011621
    [5]
    X.-M. Zhang, Q.-L. Han, X. Ge, D. Ding, L. Ding, D. Yue, and C. Peng, “Networked control systems: A survey of trends and techniques,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 1–17, Jan. 2020. doi: 10.1109/JAS.2019.1911861
    [6]
    L. Zou, Z. Wang, H. Dong, and Q.-L. Han, “Energy-to-peak state estimation with intermittent measurement outliers: The single-output case,” IEEE Trans. Cybernetics, vol. 52, no. 11, pp. 11504–11515, Nov. 2022. doi: 10.1109/TCYB.2021.3057545
    [7]
    L. Zou, Z. Wang, J. Hu, and H. Dong, “Ultimately bounded filtering subject to impulsive measurement outliers,” IEEE Trans. Automatic Control, vol. 67, no. 1, pp. 304–319, May 2022. doi: 10.1109/TAC.2021.3081256
    [8]
    K. J. Åström and P. Kumar, “Control: A perspective,” Automatica, vol. 50, pp. 3–43, Jan. 2014. doi: 10.1016/j.automatica.2013.10.012
    [9]
    M. Krstic, I. Kanellakopoulos, and P. V. Kokotovic, Nonlinear and Adaptive Control Design. New York, USA: Wiley-Interscience, 1995.
    [10]
    N. Hovakimyan, C. Cao, E. Kharisov, E. Xargay, and I. M. Gregory, “L1 adaptive control for safety-critical systems,” IEEE Control Systems Magazine, vol. 31, no. 5, pp. 54–104, Oct. 2011. doi: 10.1109/MCS.2011.941961
    [11]
    M. Benosman, “Model-based vs data-driven adaptive control: An overview,” Int. J. Adaptive Control and Signal Processing, vol. 32, pp. 753–776, Mar. 2018. doi: 10.1002/acs.2862
    [12]
    K.-S. Kim, K.-H. Rew, and S. Kim, “Disturbance observer for estimating higher order disturbances in time series expansion,” IEEE Trans. Automatic Control, vol. 55, no. 8, pp. 1905–1911, Aug. 2010. doi: 10.1109/TAC.2010.2049522
    [13]
    L. Ding, Q.-L. Han, X. Ge, and X.-M. Zhang, “An overview of recent advances in event-triggered consensus of multiagent systems,” IEEE Trans. Cybernetics, vol. 48, no. 4, pp. 1110–1123, Apr. 2018. doi: 10.1109/TCYB.2017.2771560
    [14]
    L. Liu, D. Wang, and Z. Peng, “State recovery and disturbance estimation of unmanned surface vehicles based on nonlinear extended state observers,” Ocean Engineering, vol. 171, pp. 625–632, Jan. 2019. doi: 10.1016/j.oceaneng.2018.11.008
    [15]
    K. D. Do, “Synchronization motion tracking control of multiple underactuated ships with collision avoidance,” IEEE Trans. Industrial Electronics, vol. 63, no. 5, pp. 2976–2989, May 2019.
    [16]
    Z. Peng and J. Wang, “Output-feedback path-following control of autonomous underwater vehicles based on an extended state observer and projection neural networks,” IEEE Trans. Systems,Man,and Cybernetics: Systems, vol. 48, no. 4, pp. 535–544, Apr. 2018. doi: 10.1109/TSMC.2017.2697447
    [17]
    R. Cui, L. Chen, C. Yang, and M. Chen, “Extended state observer-based integral sliding mode control for an underwater robot with unknown disturbances and uncertain nonlinearities,” IEEE Trans. Industrial Electronics, vol. 64, no. 8, pp. 6785–6795, Aug. 2017. doi: 10.1109/TIE.2017.2694410
    [18]
    J. Zhang, S. Yu, and Y. Yan, “Fixed-time extended state observer-based trajectory tracking and point stabilization control for marine surface vessels with uncertainties and disturbances,” Ocean Engineering, vol. 186, p. 106109, Aug. 2019. doi: 10.1016/j.oceaneng.2019.05.078
    [19]
    Z.-L. Lei and C. Guo, “Disturbance rejection control solution for ship steering system with uncertain time delay,” Ocean Engineering, vol. 95, pp. 78–83, Feb. 2015. doi: 10.1016/j.oceaneng.2014.12.001
    [20]
    Z. Peng, N. Gu, Y. Zhang, Y. Liu, D. Wang, and L. Liu, “Path-guided time-varying formation control with collision avoidance and connectivity preservation of under-actuated autonomous surface vehicles subject to unknown input gains,” Ocean Eningeering, vol. 191, p. 106501, Nov. 2019. doi: 10.1016/j.oceaneng.2019.106501
    [21]
    Z. Chen, “Nussbaum functions in adaptive control with time-varying unknown control coefficients,” Automatica, vol. 102, pp. 72–79, Apr. 2019. doi: 10.1016/j.automatica.2018.12.035
    [22]
    X. Li, C. Ren, S. Ma, and X. Zhu, “Compensated model-free adaptive tracking control scheme for autonomous underwater vehicles via extended state observer,” Ocean Engineering, vol. 217, p. 107976, Dec. 2020. doi: 10.1016/j.oceaneng.2020.107976
    [23]
    Z. Peng, D. Wang, and J. Wang, “Data-driven adaptive disturbance observers for model-free trajectory tracking control of maritime autonomous surface ships,” IEEE Trans. Neural Networks Learning Systems, vol. 32, no. 12, pp. 5584–5594, Dec. 2021. doi: 10.1109/TNNLS.2021.3093330
    [24]
    Z.-L. Zhao and B.-Z. Guo, “Extended state observer for uncertain lower triangular nonlinear systems,” Systems &Control Letters, vol. 85, pp. 100–108, Nov. 2015.
    [25]
    E. Lavretsky and T. E. Gibson, “Projection operator in adaptive systems,” Physics, arXiv preprint arXiv: 1112.4232, 2011.
    [26]
    H. Khalil, Nonlinear Control. Boston, USA: Pearson, 2015.
    [27]
    T. I. Fossen, Handbook of Marine Craft Hydrodynamics and Motion Control, Hoboken, USA: Wiley, 2011.
    • Related Articles
    • Supplements(0)

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (397) PDF downloads(85) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return