Prediction error estimation methods

被引:184
作者
Ljung, L [1 ]
机构
[1] Linkoping Univ, Dept Elect Engn, SE-58183 Linkoping, Sweden
关键词
system identification; estimation; prediction; prediction errors; maximum likelihood; convergence; asymptotic covariance; closed loop identification;
D O I
10.1007/BF01211648
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This contribution describes a common family of estimation methods for system identification, viz, prediction-error methods. The basic ideas behind these methods are described. An overview of typical model structures to which they can be applied is also given, as well as the most fundamental asymptotic properties of the resulting estimates.
引用
收藏
页码:11 / 21
页数:11
相关论文
共 8 条
[1]  
[Anonymous], IFAC S SELF AD SYST
[2]  
BOX GEP, 1970, TIME SERIES ANAL FOR
[3]  
DENNIS JE, 1983, NUMERICAL METHODS UN
[4]  
Fisher R A, 1912, Messenger of Mathematics, V41, P155
[5]  
Ljung L., 1999, SYSTEM IDENTIFICATIO
[6]  
OVERSCHEE P. VAN, 1996, SUBSPACE IDENTIFICAT
[7]  
S??derstr??m T., 1989, SYSTEM IDENTIFICATIO
[8]   Nonlinear black-box modeling in system identification: A unified overview [J].
Sjoberg, J ;
Zhang, QH ;
Ljung, L ;
Benveniste, A ;
Delyon, B ;
Glorennec, PY ;
Hjalmarsson, H ;
Juditsky, A .
AUTOMATICA, 1995, 31 (12) :1691-1724