THE APPLICATION OF THE LEAST SQUARES METHOD TO PARAMETER IDENTIFICATION

被引：0
|
作者：
Cong Shuping [1 ]
Han Jinsheng [1 ]
Sun Xiuli [2 ]
Liang Shuting [3 ]
机构：
[1] Shanghai Univ Sci & Technol, Shanghai, Peoples R China
[2] Qingdao Agr Univ, Qingdao, Peoples R China
[3] Southeast Univ, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INSPECTION APPRAISAL REPAIRS AND MAINTENANCE OF STRUCTURES, VOLS 1 AND 2 | 2010年
关键词：
the least squares method; Recursive least squares method; parameter identification; long span bridge;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The application of the least squares method to parameter identification was discussed. For the parameter identification of the nonlinear system, the nonlinear identified method based on the least squares method was put forward, which was benefited to enhance the identification accuracy. The linear transformation matrix empty set was amended according to the data of construction simulation calculation and the first identified data in the nonlinear identified method. Recursive least squares method was introduced into component parameter identification. Through Recursive least squares method, the parameter which has been identified was amended based on the new data. So the real-time identification was realized.
引用
收藏
页码：269 / +
页数：2
相关论文
共 50 条
  • [21] A Parameter Estimation Method using Nonlinear Least Squares
    Oh, Suna
    Song, Jongwoo
    KOREAN JOURNAL OF APPLIED STATISTICS, 2013, 26 (03) : 431 - 440
  • [22] Parameter estimation with discrete linear least squares method
    Wu, LC
    Lee, WC
    Huang, CL
    Wang, JK
    Chiu, PF
    Liu, RS
    MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS), 2003, : 135 - 138
  • [23] CONSISTENCY OF LEAST-SQUARES IDENTIFICATION METHOD
    LJUNG, L
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1976, 21 (05) : 779 - 781
  • [24] Parameter identification for symbolic regression using nonlinear least squares
    Kommenda, Michael
    Burlacu, Bogdan
    Kronberger, Gabriel
    Affenzeller, Michael
    GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 2020, 21 (03) : 471 - 501
  • [25] Least squares and genetic algorithms for parameter identification of induction motors
    Alonge, F
    D'Ippolito, F
    Raimondi, FM
    CONTROL ENGINEERING PRACTICE, 2001, 9 (06) : 647 - 657
  • [26] Parameter identification for symbolic regression using nonlinear least squares
    Michael Kommenda
    Bogdan Burlacu
    Gabriel Kronberger
    Michael Affenzeller
    Genetic Programming and Evolvable Machines, 2020, 21 : 471 - 501
  • [27] Structure Parameter Identification of Articulated Arm Coordinate Measuring Machines Based on the Least Squares Method
    Lu, Jian
    Gao, Guanbin
    Yang, Huiping
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 638 - 641
  • [28] Model Parameter Identification and Simulation of Ship Power System Based on Recursive Least Squares Method
    Hu, Jinhui
    Hu, Dabin
    Xiao, Jianbo
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 482 - 486
  • [29] Parameter identification and pressure control of dynamic system in shield tunneling using least squares method
    LI Shou-ju~1
    2.Institute of Mechanical Engineering
    International Journal of Coal Science & Technology, 2010, (03) : 256 - 261
  • [30] Lithium-ion Battery Modeling and Parameter Identification Based on Decentralized Least Squares Method
    Zhu, Rui
    Duan, Bin
    Wen, Fazheng
    Zhang, Junming
    Zhang, Chenghui
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 55 (20): : 85 - 93
12345