Convergence rates for eigenstructure identification using subspace methods

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2000, Pages 1550-1554

  Benveniste, A ^a   Basseville, M ^a   Mevel L ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; CONVERGENCE OF NUMERICAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; FUNCTIONS; OBSERVABILITY; STATE SPACE METHODS; STATISTICAL TESTS;

CENTRAL LIMIT THEOREMS; CONVERGENCE RATES; EIGENSTRUCTURE IDENTIFICATION; SUBSPACE METHODS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0034439025     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Using local tests to estimate convergence rates for identification
2. Detection and diagnosis of changes in the eigenstructure of non-stationary multivariable systems
3. Damage monitoring in vibration mechanics: Issues in diagnostics and predictive maintenance
4. Subspace-based fault detection algorithms for vibration monitoring
5. The asymptotic local approach to change detection and model validation
6. On the relationship between identification and local tests
7. Subspace-based methods for the identification of linear time-invariant systems
8. Analysis of state space system identification methods based on instrumental variables and subspace fitting
9. A 4sid-based change detection algorithm