A HIGH ORDER FILTER FOR ESTIMATION OF NONLINEAR DYNAMIC SYSTEMS

被引：0
|
作者：
Lee, Taewook [1 ]
Singla, Puneet [2 ]
Majji, Manoranjan [3 ]
机构：
[1] SUNY Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA
[2] Penn State Univ, Dept Aerosp Engn, University Pk, PA 16802 USA
[3] Texas A&M Univ, Dept Aerosp Engn, College Stn, TX 77840 USA
来源：
ASTRODYNAMICS 2018, PTS I-IV | 2019年 / 167卷
基金：
美国国家科学基金会;
关键词：
TRANSFORMATION;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this paper, a high order filter is presented for estimation of nonlinear dynamic systems. The proposed filter computes higher order moment update equations in a Jacobian free manner and a computationally attractive manner. Compared to the conventional filters such as the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), the proposed filter captures desired order of statistical moments by making use of the higher order state transition matrices developed in our previous works, providing more accurate estimates through sparse measurements. The connection between the conventional high order method, the higher order state transition matrices and the proposed filter is discussed. Orbit estimation problem is considered to demonstrate the numerical efficiency and accuracy of the proposed filter.
引用
收藏
页码：543 / 563
页数：21
相关论文
共 50 条
  • [41] Global dynamic output feedback stabilization for a class of high-order nonlinear systems
    Zhai, Junyong
    Liu, Ce
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (03) : 1828 - 1843
  • [42] Analytical and experimental coordinate transformations for high-order nonlinear structural dynamic systems
    Adams, DE
    PROCEEDINGS OF IMAC-XX: STRUCTURAL DYNAMICS VOLS I AND II, 2002, 4753 : 338 - 345
  • [43] Projection Filter Method Based on State Estimation to Nonlinear Systems
    Chen, Lijuan
    Sang, Jizhang
    Du, Jianli
    Chen, Junyu
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED MATHEMATICS, 2015, 122 : 336 - 341
  • [44] State estimation of nonlinear systems using the Unscented Kalman Filter
    Almeida, J.
    Oliveira, P.
    Silvestre, C.
    Pascoal, A.
    TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE, 2015,
  • [45] An Improved Fuzzy Kalman Filter for State Estimation of Nonlinear Systems
    Zhou, Zhi-Jie
    Hu, Chang-Hua
    Zhang, Bang-Cheng
    Chen, Liang
    ISND 2007: PROCEEDINGS OF THE 2007 INTERNATIONAL SYMPOSIUM ON NONLINEAR DYNAMICS, PTS 1-4, 2008, 96
  • [46] MINIMAL-ORDER DYNAMIC DECOUPLING OF NONLINEAR SYSTEMS
    夏小华
    高为炳
    Science China Mathematics, 1990, (05) : 617 - 624
  • [47] Higher order nonlinear dynamic systems on time scales
    Gunendi, Mustafa
    Yaslan, Ismail
    GEORGIAN MATHEMATICAL JOURNAL, 2016, 23 (02) : 211 - 220
  • [48] The Applications of Order Reduction Methods in Nonlinear Dynamic Systems
    Wu, Nan
    Lu, Kuan
    Jin, Yulin
    Zhang, Haopeng
    Chen, Yushu
    SOUND AND VIBRATION, 2020, 54 (02): : 113 - 125
  • [49] A METHOD FOR REDUCING THE ORDER OF NONLINEAR DYNAMIC-SYSTEMS
    MASRI, SF
    MILLER, RK
    SASSI, H
    CAUGHEY, TK
    JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 1984, 51 (02): : 391 - 398
  • [50] PARTICLE FILTER GREYWOLF OPTIMIZATION FOR PARAMETER ESTIMATION OF NONLINEAR DYNAMIC SYSTEM
    Zhang, Cuilian
    Yang, Xu
    Li Lingbo
    Wong, Derek F.
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2018, : 95 - 100
12345