A Bootstrap Subspace Identification Method: Comparing Methods for Closed Loop Subspace Identification by Monte Carlo Simulations

被引:3
|
作者
Di Ruscio, David [1 ]
机构
[1] Telemark Univ Coll, N-3901 Porsgrunn, Norway
关键词
Subspace; Identification; Closed loop; Linear Systems; Kalman filter; Modeling; SYSTEM-IDENTIFICATION; KALMAN FILTER; ALGORITHM;
D O I
10.4173/mic.2009.4.2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel promising bootstrap subspace system identification algorithm for both open and closed loop systems is presented. An outline of the SSARX algorithm by Jansson (2003) is given and a modified SSARX algorithm is presented. Some methods which are consistent for closed loop subspace system identification presented in the literature are discussed and compared to a recently published subspace algorithm which works for both open as well as for closed loop data, i.e., the DSR_e algorithm as well as the new bootstrap subspace method presented in this paper. Experimental comparisons are performed by Monte Carlo simulations.
引用
收藏
页码:203 / 222
页数:20
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