Volume 30 Issue 6
Nov.  2021
Turn off MathJax
Article Contents
SUN Xiaohui, WEN Tao, WEN Chenglin, et al., “High-Order Extended Strong Tracking Filter,” Chinese Journal of Electronics, vol. 30, no. 6, pp. 1152-1158, 2021, doi: 10.1049/cje.2021.08.010
Citation: SUN Xiaohui, WEN Tao, WEN Chenglin, et al., “High-Order Extended Strong Tracking Filter,” Chinese Journal of Electronics, vol. 30, no. 6, pp. 1152-1158, 2021, doi: 10.1049/cje.2021.08.010

High-Order Extended Strong Tracking Filter

doi: 10.1049/cje.2021.08.010
Funds:

This work is supported by the National Natural Science Foundation of China (No.61933013, No.61806064, No.61703385, No.61703103, No.U1664264) and Science and Technology Project of China Electric Power Research Institute (No.SGHB0000KXJS1800375).

  • Received Date: 2020-12-17
  • Rev Recd Date: 2021-01-13
  • Available Online: 2021-09-23
  • Publish Date: 2021-11-05
  • A novel High-order extended Strong tracking filter (H-STF) is proposed for a class of nonlinear systems. All high-order polynomial terms in the state model are regarded as implicit variables; the original state model is equivalently formulated into a pseudo-linear form; the dynamic relationship between each implicit variable and all variables is modeled; original state model is rewritten into an augmented linear model; the nonlinear measurement model can be rewritten into linear form; taking into account the problems of modeling errors and state mutations that may be caused by the introduction of implicit variables, a high-order extended strong tracking filter is designed. Examples are presented to demonstrate the effectiveness of the new algorithm.
  • loading
  • C.B. Wen, Z.D. Wang, Q.Y. Liu, et al., "Recursive distributed filtering for a class of state-saturated systems with fading measurements and quantization effects", IEEE Transactions on Systems, Man and Cybernetics:Systems, Vol.48, No.6, pp.930-941, 2018.
    T. Wen, Q.B. Ge, X. Lyu, et al., "A cost-effective wireless network migration planning method supporting high-security enabled railway data communication systems", Journal of the Franklin Institute, Vol.35, No.6, pp.114-121, 2019.
    T. Wen, C.B. Wen, C.Roberts, et al., "Distributed filtering for a class of discrete-time systems over wireless sensor networks", Journal of the Franklin Institute, Vol.357, No.5, pp.3038-3055, 2020.
    C.B. Wen, Z.D. Wang, J. Hu, et al., "Alsaadi recursive filtering for state-saturated systems with randomly occurring nonlinearities and missing measurements", International Journal of Robust and Nonlinearity Control, Vol.28, No.1, pp.1715-1727, 2018.
    C.L. Wen, X.S. Cheng, D.X Xu, et al., "Filter design based on characteristic functions for one class of multidimensional nonlinear non-Gaussian systems", Automatica, Vol.82, pp.171-180, 2017.
    X. Guo, L.L. Sun, T. Wen, et al., "Adaptive transition probability matrix-based parallel IMM algorithm", IEEE Transactions on Systems, Man, and Cybernetics:Systems, Vol.19, No.14, pp.1-10, 2019.
    C.L. Wen and D.H. Zhou, Theoretical Principle of State Estimation, Tsinghua University Press, Beijing, China, pp.1-298, 2002. (in Chinese)
    R.S. Bucy and K.D. Renne, "Digital synthesis of nonlinear filter", Automatica, Vol.7, No.3, pp.287-289, 1971.
    J. Hou, Z.R. Jing and Y. Yang, "Extended Kalman particle filter algorithm for target tracking in stand-off jammer", Journal of Electronics and Information Technology, Vol.35, No.7, pp.1587-1592, 2013.
    Bo Li, Fuwen Pang, Ce Liang, et al., "Improved interactive multiple model filter for maneuvering target tracking". Chinese Control Conference, Nanjing, China, pp.7312-7316, 2014.
    A. S. Mir and N. Senroy, "DFIG damping controller design using robust CKF-based adaptive dynamic programming", IEEE Transactions on Sustainable Energy, Vol.11, No.2, pp.839-850, 2019.
    H. Yu, Y. Liu and W. Wang, "Distributed sparse signal estimation in sensor networks using H∞-consensus filtering", IEEE/CAA Journal of Automatica Sinica, Vol.1, No.2, pp.149-154, 2014.
    Y. Liu, Z.D. Wang, X. He, et al., "Filtering and fault detection for nonlinear systems with polynomial approximation", Automatica, Vol.54, pp.348-359, 2015.
    K. Kowalski and W.H. Steeb, Nonlinear Dynamical Systems and Carleman Linearization, World Scientific, Singapore, 1991.
    A.Germani, C.Manes and P.Palumbo, "Polynomial extended Kalman filter", IEEE Transactions on Automatic Control, Vol.50, No.12, pp.2059-2064, 2005.
    C.Zhang and H.S. Yan, "Identification of nonlinear timevarying system with noise based on multi-dimensional Taylor network with optimal structure", Journal of Southeast University, Vol.47, No.6, pp.1086-1093, 2017. (in Chinese)
  • 加载中

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

    Article Metrics

    Article views (340) PDF downloads(31) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return