Identification of multivariable linear parameter-varying systems based on subspace techniques

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2000, Pages 1567-1572

  Verdult, V ^a   Verhaegen, M ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MULTIVARIABLE CONTROL SYSTEMS; STATE SPACE METHODS;

LINEAR PARAMETER VARYING SYSTEMS; MULTIVARIABLE IDENTIFICATION; SUBSPACE IDENTIFICATION METHOD;

PARAMETER ESTIMATION;

EID: 0034439105     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. N4SID: Subspace algorithms for the identification of combined deterministic and stochastic systems
2. Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
3. Identifying MIMO Wiener systems using subspace model identification methods
4. Identification of Wiener models with process noise
5. Identifying MIMO Hammerstein systems in the context of subspace model identification methods
6. Subspace identification of bilinear systems subject to white inputs
7. Efficient and systematic identification of MIMO bilinear state space models
8. Subspace identification of MIMO bilinear systems
9. Subspace identification method for combined deterministic-stochastic bilinear systems
10. The operating regime approach to nonlinear modelling and control
11. State space identification of MIMO linear parameter varying models
12. The minimal residual QR-factorization algorithm for reliably solving subset regression problems