Validation of state-space models with time-varying parameter uncertainty

被引：0
|
作者：
Johansson, Andreas [1 ]
机构：
[1] Lulea Univ Technol, Control Engn Grp, SE-97187 Lulea, Sweden
来源：
PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The model validation problem assuming time-varying parameter uncertainty is addressed. A particular form of this uncertainty description, here named the biaffine input/output system is shown to be quite general and yet lead to simple solutions of the model validation problem, in the form of linear feasibility problems. An overhead crane is used as an illustrative example.
引用
下载
收藏
页码：2593 / 2598
页数：6
相关论文
共 50 条
  • [41] COEFFICIENT SENSITIVITY ANALYSIS OF PERIODICALLY TIME-VARYING STATE-SPACE DIGITAL-FILTERS
    YANG, XD
    KAWAMATA, M
    HIGUCHI, T
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1994, 41 (08): : 526 - 536
  • [42] Hierarchical Shrinkage in Time-Varying Parameter Models
    Belmonte, Miguel A. G.
    Koop, Gary
    Korobilis, Dimitris
    JOURNAL OF FORECASTING, 2014, 33 (01) : 80 - 94
  • [43] Time-Varying Parameter Realized Volatility Models
    Wang, Yudong
    Pan, Zhiyuan
    Wu, Chongfeng
    JOURNAL OF FORECASTING, 2017, 36 (05) : 566 - 580
  • [44] Time-varying parameter models with endogenous regressors
    Kim, CJ
    ECONOMICS LETTERS, 2006, 91 (01) : 21 - 26
  • [45] TIME-VARYING PARAMETER REGRESSION-MODELS
    BECK, N
    AMERICAN JOURNAL OF POLITICAL SCIENCE, 1983, 27 (03) : 557 - 600
  • [46] Discretisation of linear parameter-varying state-space representations
    Toth, R.
    Heuberger, P. S. C.
    Van den Hof, P. M. J.
    IET CONTROL THEORY AND APPLICATIONS, 2010, 4 (10): : 2082 - 2096
  • [47] Identification of linear parameter-varying state-space models with application to helicopter rotor dynamics
    Verdult, V
    Lovera, M
    Verhaegen, M
    INTERNATIONAL JOURNAL OF CONTROL, 2004, 77 (13) : 1149 - 1159
  • [48] Identification of State-space Linear Parameter-varying Models Using Artificial Neural Networks
    Bao, Yajie
    Velni, Javad Mohammadpour
    Basina, Aditya
    Shahbakhti, Mahdi
    IFAC PAPERSONLINE, 2020, 53 (02): : 5286 - 5291
  • [49] Biased Online Parameter Inference for State-Space Models
    Del Moral, Pierre
    Jasra, Ajay
    Zhou, Yan
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2017, 19 (03) : 727 - 749
  • [50] Parameter redundancy in discrete state-space and integrated models
    Cole, Diana J.
    McCrea, Rachel S.
    BIOMETRICAL JOURNAL, 2016, 58 (05) : 1071 - 1090
12345