RATIONAL MODEL IDENTIFICATION USING AN EXTENDED LEAST-SQUARES ALGORITHM

被引:54
作者
BILLINGS, SA
ZHU, QM
机构
[1] Department of Control Engineering, University of Sheffield, Sheffield
关键词
D O I
10.1080/00207179108934174
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new least-squares-based parameter-estimation algorithm is derived for nonlinear systems which can be represented by a rational model defined as the ratio of two polynomial expansions of past system inputs, outputs and noise. Simulation results are included to illustrate the performance of the new algorithm.
引用
收藏
页码:529 / 546
页数:18
相关论文
共 14 条
[1]   IDENTIFICATION OF NON-LINEAR RATIONAL SYSTEMS USING A PREDICTION-ERROR ESTIMATION ALGORITHM [J].
BILLINGS, SA ;
CHEN, S .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1989, 20 (03) :467-494
[2]  
CHEN S, 1989, INT J CONTROL, V48, P1013
[3]  
Goodwin G., 1977, DYNAMIC SYSTEM IDENT
[4]  
Haber R., 1990, AUTOMATICA, V26
[5]   INPUT OUTPUT PARAMETRIC MODELS FOR NON-LINEAR SYSTEMS .2. STOCHASTIC NON-LINEAR SYSTEMS [J].
LEONTARITIS, IJ ;
BILLINGS, SA .
INTERNATIONAL JOURNAL OF CONTROL, 1985, 41 (02) :329-344
[6]   INPUT OUTPUT PARAMETRIC MODELS FOR NON-LINEAR SYSTEMS .1. DETERMINISTIC NON-LINEAR SYSTEMS [J].
LEONTARITIS, IJ ;
BILLINGS, SA .
INTERNATIONAL JOURNAL OF CONTROL, 1985, 41 (02) :303-328
[7]  
Ljung L, 1983, THEORY PRACTICE RECU
[8]  
Ljung L., 1978, SYSTEM IDENTIFICATIO
[9]  
MARQUARDT DW, 1963, J SOC IND APPLIED MA, V11
[10]  
Nayfeh A. H., 2008, NONLINEAR OSCIL