LPV subspace identification of a DC motor with unbalanced disc

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue PART 1, 2009, Pages 856-861

  Kulcsár, Balázs ^a   Dong, Jianfei ^a   Van Wingerden, Jan Willem ^a   Verhaegen, Michel ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

DC motor; Linear parameter varying systems; Subspace identification

Indexed keywords

CLOSED-LOOP; IDENTIFICATION PROCEDURE; LINEAR PARAMETER VARYING SYSTEMS; LINEAR PARAMETER-VARYING SYSTEM; NON-LINEAR MODEL; REAL-LIFE APPLICATIONS; SUBSPACE IDENTIFICATION;

DC MOTORS; IDENTIFICATION (CONTROL SYSTEMS);

PARAMETER ESTIMATION;

EID: 80051654632     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090706-3-FR-2004.0173     Document Type: Conference Paper

References (20)

1. A. Becker and A. Packard. Robust performance of linear parametrically varying systems using parametrically-dependent linear feedback. Systems & Control Letters, 23(3):205-215, 1994.
2. J. Bokor and G.J. Balas. Detection filter design for LPV systems - a geometric approach. Automatica, 40(3):511-518, 2004.
3. A. Chiuso. The role of vector auto regressive modeling in predictor based subspace identification. Automatica, 43 (6):1034-1048, 2007. (Pubitemid 46667118)
4. A. Chiuso and G. Picci. Consistency analysis of certain closed-loop subspace identification methods. Automatica, 41(3):377-391, 2005. (Pubitemid 40183240)
5. W. Favoreel. Subspace methods for identification and control of linear and bilinear systems. PhD thesis, Katholieke universiteit leuven, 1999.
6. G. H. Golub and C. F. van Loan. Matrix computations. The John Hopkins University Press, 1996.
7. th IFAC World Congress, Prague, Czech Republic, 2005.
8. T. Knudsen. Consistency analysis of subspace identification methods based on a linear regression approach. Automatica, 37(1):81-89, 2001.
9. B. Kulcsár, J. Bokor, and J. Shinar. Unknown input reconstruction for LPV systems. International Journal of Robust and Nonlinear Control, under printing, 2008.
10. M. Lovera and G. Mercere. Identification for gainscheduling: balanced subspace approach. In Proceedings of the American Control Conference (ACC), New York City, USA, 2007.
11. A. Marcos and G.J. Balas. Development of linear parameter varying models for aircraft. AIAA Journal of Guidance, Dynamics and Control, 27(2):218-228, 2004.
12. W.J. Rugh. Linear System Theory. Upper Sadle River, 1996.
13. J. Shamma and M. Athans. Guaranteed properties of gain scheduled control for linear parameter varying plants. Automatica, 27(3):559-564, 1991. (Pubitemid 21651848)
14. R. Tóth, F. Felici, P.S.C. Heuberger, and P.M.J. Van den Hof. Discrete time LPV I/O and state space representations. European Control Conference, Kos, Greece 2-5 July, 1:5418-5425, 2007.
15. P. Van Overschee and B. De Moor. Subspace Identification for linear systems. Kluwer Academic Publishers, 1996.
16. J. W. van Wingerden. Control of Wind Turbines with 'Smart' Rotors: Proof of Concept & LPV Subspace Identification. PhD thesis, Delft University of Technology, 2008.
17. J. W. van Wingerden and M. Verhaegen. Subspace identification of Bilinear and LPV systems for open and closed loop data. Automatica, 45(2):372-381, 2009.
18. V. Verdult. Nonlinear system identification; A state-space approach. Ph.D. thesis, University of Twente, 2002.
19. V. Verdult and M. Verhaegen. Kernel methods for subspace identification of multivariable LPV and bilinear systems. Automatica, 41(9):1557-1565, 2005. (Pubitemid 41000123)
20. M. Verhaegen and P. Dewilde. Subspace model identification part 1: The output-error state-space model identification class of algorithms. International Journal of Control, 56(5):1187-1210, 1992.