System identification of a dynamical models using experimental data

被引：0
|
作者：
Atanasiu, Gabriela V. [1 ]
Paulet, Fideliu C. [1 ]
机构：
[1] Polytechnic Inst, Iasi, Romania
来源：
Modelling, simulation & control. B | 1993年 / 51卷 / 01期
关键词：
Dynamic models - Seismic analysis - System identification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：49 / 56
相关论文
共 50 条
  • [11] Modal parameters identification of buildings using ARX models and seismic experimental data
    Spina, D
    DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, 1999, 167-1 : 328 - 334
  • [12] Parameter identification of thermal system models using on-line data
    Sun, Jian-Ping
    Yan, Yong-Yue
    Li, Qing-Zhou
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2007, 37 (SUPPL.): : 5 - 8
  • [13] Comparison of Identification Methods for Dynamical System Models in a Single Chip
    Tuma, Martin
    Karsky, Vilem
    Jura, Pavel
    INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2022, ICNAAM-2022, 2024, 3094
  • [14] Nonlinear dynamical system identification using reduced Volterra models with generalized orthonormal basis functions
    Seretis, C
    Zafiriou, E
    PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 3042 - 3046
  • [15] Constraining asteroid dynamical models using GAIA data
    Tsiganis, K.
    Varvoglis, H.
    Tsirvoulis, G.
    Voyatzis, G.
    PLANETARY AND SPACE SCIENCE, 2012, 73 (01) : 47 - 51
  • [16] Dynamical systems identification using Gaussian process models with incorporated local models
    Azman, K.
    Kocijan, J.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2011, 24 (02) : 398 - 408
  • [17] A digital analysis of the experimental accelerometers data used for buildings dynamical identification
    Giannoccaro, N. I.
    Spedicato, L.
    Foti, D.
    2016 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY, AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2016,
  • [18] Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution
    Green, P. L.
    PROBABILISTIC ENGINEERING MECHANICS, 2015, 42 : 54 - 63
  • [19] Functional Data Analysis for Dynamical System Identification of Behavioral Processes
    Trail, Jessica B.
    Collins, Linda M.
    Rivera, Daniel E.
    Li, Runze
    Piper, Megan E.
    Baker, Timothy B.
    PSYCHOLOGICAL METHODS, 2014, 19 (02) : 175 - 187
  • [20] Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
    Mazzoleni, M.
    Scandella, M.
    Formentin, S.
    Previdi, F.
    IFAC PAPERSONLINE, 2018, 51 (15): : 622 - 627
12345