论文信息 - Convergence rates for eigenstructure identification using subspace methods

Convergence rates for eigenstructure identification using subspace methods

We apply the general results of a companion paper (Benveniste and Deylon (2000) on the relationship between identification and local tests, to the estimation of convergence rates for MIMO system eigenstructure identification using subspace algorithms. We provide a new and practical estimator for such convergence rates.

Laurent Mevel | Albert Benveniste | Michèle Basseville

[1] Mats Viberg,et al. Subspace-based methods for the identification of linear time-invariant systems , 1995, Autom..

[2] A. Benveniste,et al. Using local tests to estimate convergence rates for identification , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[3] Michèle Basseville,et al. Detection of Abrupt Changes: Theory and Applications. , 1995 .

[4] A. Benveniste,et al. On the relationship between identification and local tests , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[5] Tony Gustafsson,et al. A 4SID-Based Change-Detection Algorithm , 1996 .

[6] Maurice Goursat,et al. In situ damage monitoring in vibration mechanics: diagnostics and predictive maintenance , 1993 .

[7] Michèle Basseville,et al. Subspace-based fault detection algorithms for vibration monitoring , 2000, Autom..

[8] George V. Moustakides,et al. Detection and diagnosis of changes in the eigenstructure of nonstationary multivariable systems , 1987, Autom..

[9] Michèle Basseville,et al. The asymptotic local approach to change detection and model validation , 1987 .

[10] Bo Wahlberg,et al. Analysis of state space system identification methods based on instrumental variables and subspace fitting , 1997, Autom..