Global Least Squares for Time-Domain System Identification of State-Space Models

被引:0
|
作者
Harker, Matthew [1 ]
Rath, Gerhard [1 ]
机构
[1] Univ Leoben, Inst Automat, Leoben, Austria
关键词
-system identification; output error; global leastsquares; variable projection method;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This This paper describes a new method for identifying the system parameters of a dynamic system in state-space form by minimizing the least-squares error of the measured system output. The variable projection method is used to eliminate the necessity of estimating the system states, and reduce the system identification cost function to a function of only the system parameters. The method is verified using real data of the angle of a pendulum mounted on a trolley with position control.
引用
收藏
页码:590 / 595
页数:6
相关论文
共 50 条
  • [21] IDENTIFICATION OF DYNAMICAL SYSTEM IN STATE SPACE: A TOTAL LEAST SQUARES APPROACH
    Petras, Ivo
    Bednarova, Dagmar
    PROCEEDINGS OF 11TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE, 2010, 2010, : 419 - 422
  • [22] State-Space Models for Control and Identification
    2005, Springer Verlag (308):
  • [23] Identification of structured state-space models
    Yu, Chengpu
    Ljung, Lennart
    Verhaegen, Michel
    AUTOMATICA, 2018, 90 : 54 - 61
  • [24] Simultaneous identification of structural parameters and dynamic loads in time-domain using partial measurements and state-space approach
    Bitro, Zakaria
    Batou, Anas
    Ouyang, Huajiang
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 210
  • [25] State-space models for control and identification
    Raynaud, HF
    Kulcsár, C
    Hammi, R
    ADVANCES IN COMMUNICATION CONTROL NETWORKS, 2005, 308 : 177 - 197
  • [26] Residual models and stochastic realization in state-space system identification
    Johansson, R
    Verhaegen, M
    Chou, CT
    Robertsson, A
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 3439 - 3444
  • [27] Further results on "System identification of nonlinear state-space models"
    Liu, Xin
    Lou, Sicheng
    Dai, Wei
    AUTOMATICA, 2023, 148
  • [28] Identification of State-Space Models With Banded Toeplitz System Matrices
    Yu, Chengpu
    Xia, Yinqiu
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 1146 - 1151
  • [29] A Time-Domain Least Squares Approach to Electrochemical Impedance Spectroscopy
    Lindahl, Peter A.
    Cornachione, Matthew A.
    Shaw, Steven R.
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (12) : 3303 - 3311
  • [30] TIME-DOMAIN APPROXIMATION AND SYSTEM MODELING USING A DAMPED LEAST-SQUARES ALGORITHM
    ISHAK, WS
    SINHA, NK
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1976, 7 (06) : 635 - 640