IDENTIFICATION OF NONLINEAR-SYSTEM STRUCTURE AND PARAMETERS USING REGIME DECOMPOSITION

被引：154
|
作者：
JOHANSEN, TA
FOSS, BA
机构：
[1] Department of Engineering Cybernetics, Norwegian Institute of Technology, The University of Trondheim
来源：
AUTOMATICA | 1995年 / 31卷 / 02期
关键词：
NONLINEAR SYSTEMS; SYSTEM IDENTIFICATION; MODELING; PROCESS MODELS; FERMENTATION PROCESSES;
D O I：
10.1016/0005-1098(94)00096-2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An off-line algorithm for empirical modeling and identification of non-linear dynamic systems is presented. The minimal input to the algorithm is a sequence of empirical data and the model order. Using this information, the algorithm searches for an optimal model structure and parameters within a rich non-linear model set. The model representation is based on the interpolation of a number of simple local models, where each local model has a limited range of validity, but the local models yield a complete global model when interpolated. The method is illustrated using simulated data.
引用
收藏
页码：321 / 326
页数：6
相关论文
共 50 条
  • [21] Estimating Dynamics in Particle Tracking Microscopy Using Nonlinear System Identification
    Ashley, Trevor T.
    Andersson, Sean B.
    IFAC PAPERSONLINE, 2015, 48 (28): : 805 - 810
  • [22] Nonlinear System Identification Using Temporal Convolutional Networks: A Silverbox Study
    Maroli, John M.
    Ozguner, Umit
    Redmill, Keith
    IFAC PAPERSONLINE, 2019, 52 (29): : 186 - 191
  • [23] Nonlinear System Identification Using Compressed Sensing
    Naik, Manjish
    Cochran, Douglas
    2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), 2012, : 426 - 430
  • [24] Linear system identification using proper orthogonal decomposition
    Khalil, Mohammad
    Adhikari, Sondipon
    Sarkar, Abhijit
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 3123 - 3145
  • [25] Nonlinear system identification using wavelet networks
    Liu, GP
    Billings, SA
    Kadirkamanathan, V
    UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II, 1998, : 1248 - 1253
  • [26] A nonlinear block structure identification procedure using Frequency Response Function measurements
    Lauwers, Lieve
    Schoukens, Johan
    Pintelon, Rik
    Enqvist, Martin
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2008, 57 (10) : 2257 - 2264
  • [27] Nonlinear model structure identification using genetic programming
    Gray, GJ
    Murray-Smith, DJ
    Li, Y
    Sharman, KC
    Weinbrenner, T
    CONTROL ENGINEERING PRACTICE, 1998, 6 (11) : 1341 - 1352
  • [28] System identification of inverse, multimodal and nonlinear problems using evolutionary computing - Application to a pile structure supported on nonlinear springs
    Karabeliov, Krassimire
    Cuellar, Pablo
    Baessler, Matthias
    Ruecker, Werner
    ENGINEERING STRUCTURES, 2015, 101 : 609 - 620
  • [29] NONLINEAR DELAYED N-PATH ADAPTIVE IIR DIGITAL-FILTER FOR NONLINEAR-SYSTEM MODELING
    KWAN, HK
    ELECTRONICS LETTERS, 1993, 29 (12) : 1109 - 1111
  • [30] Identification of nonlinear normal modes of structures using the Empirical Mode Decomposition method
    Poon, CW
    Chang, CC
    SMART STRUCTURES AND MATERIALS 2005: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE, PTS 1 AND 2, 2005, 5765 : 881 - 891
12345