Time-domain approaches to continuous-time model identification of dynamical systems from sampled data

Proceedings of the American Control Conference

Volumn 1, Issue , 2004, Pages 667-672

  Garnier, Hugues ^a   Young, Peter ^b  

^a CENTRE DE RECHERCHE EN AUTOMATIQUE DE NANCY   (France)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE; DATA REDUCTION; DIFFERENCE EQUATIONS; ERROR ANALYSIS; MATHEMATICAL OPERATORS; TIME DOMAIN ANALYSIS; TRANSFER FUNCTIONS;

DIFFERENTIAL OPERATORS; DYNAMICAL SYSTEMS; MODEL IDENTIFICATION; TIME-DERIVATIVES;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 8744311905     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/acc.2004.1383680     Document Type: Conference Paper

References (29)

1. P.C. Young, "In flight dynamic checkout - a discussion," IEEE Transactions on Aerospace, vol. 2, pp. 1106-1111, 1964.
2. P.C. Young, "The determination of the parameters of a dynamic process," Radio and Electronic Eng. (Jnl. Of IERE), vol. 29, pp. 345-361, 1965.
3. P.C. Young, Theory of self adaptive control systems, chapter Process parameter estimation and self adaptive control, pp. 118-140, Plenum Press, P.H. Hammond edition, 1966.
4. P.C. Young, Recursive Estimation and Time-Series Analysis, Springer-Verlag, Berlin, 1984.
5. T. Söderström and P. Stoica, System Identification, Series in Systems and Control Engineering. Prentice Hall, 1989.
6. L. Ljung, System identification. Theory for the user, Prentice Hall, Upper Saddle River, 2nd edition, 1999.
7. N.R. Kristensen, H. Madsen, and S.B. Jørgensen, "Parameter estimation in stochastic grey-box models," Automatica, vol. 40, no. 2, pp. 225-237, 2004.
8. P. Young, "Parameter estimation for continuous-time models - a survey," Automatica, vol. 17, no. 1, pp. 23-39, 1981.
9. H. Unbehauen and G.P. Rao, Identification of continuous systems, Systems and control series. North-Holland, Amsterdam, 1987.
10. H. Unbehauen and G.P. Rao, "Continuous-time approaches to system identification - a survey," Automatica, vol. 26, no. 1, pp. 23-35, 1990.
11. N.K. Sinha and G.P. Rao (Editors), Identification of continuous-time systems. Methodology and computer implementation, Kluwer Academic Publishers, Dordrecht, 1991.
12. H. Unbehauen and G.P. Rao, "A review of identification in continuous-time systems," Annual reviews in Control, vol. 22, pp. 145-171, 1998.
13. P.C. Young, H. Garnier, and A. Jarvis, "The identification of continuous-time linear and nonlinear models: a tutorial with environmental applications," in 13th IFAC Symposium on System Identification (SYSID'2003), Rotterdam (The Netherlands), August 2003, pp. 618-628.
14. H. Garnier, M. Mensler, and A. Richard, "Continuous-time model identification from sampled data. Implementation issues and performance evaluation," Int. J. Control, vol. 76, no. 13, pp. 1337-1357, 2003.
15. P.C. Young and A.J. Jakeman, "Refined instrumental variable methods of time-series analysis: Part III, extensions," Int. J. Control, vol. 31, pp. 741-764, 1980.
16. P.C. Young, "Optimal IV identification and estimation of continuous-time TF models," in 15th Triennial IFAC World Congress on Automatic Control, Barcelona (Spain), July 2002.
17. P.C. Young, "Comments on "On the estimation of continuous-time transfer functions"," Int. J. Control, vol. 75, no. 9, pp. 693-697, 2002.
18. P.C. Young, "An instrumental variable method for real-time identification of a noisy process," Automatica, vol. 6, pp. 271-287, 1970.
19. P.J. Gawthrop, "Parametric identification of transient signals," IMA Journal of Mathematical Control and Information, vol. 1, pp. 117-1289, 1984.
20. C.T. Chou, M. Verhaegen, and R. Johansson, "Continuous-time identification of SISO systems using Laguerre functions," IEEE Transactions on Signal Processing, vol. 47, no. 2, pp. 349-362, 1999.
21. E. Huselstein and H. Garnier, "An approach to continuous-time model identification from non-uniformly sampled data," in 41st IEEE Conference on Decision and Control (CDC'02), Las-Vegas, Nevada (USA), December 2002.
22. R. Johansson, "Identification of continuous-time model," IEEE Transactions on Signal Processing, vol. 42, no. 4, pp. 887-896, 1994.
23. R. Pintelon, J. Schoukens, and Y. Rolain, "Box-Jenkins continuous-time modeling," Automatica, vol. 36, pp. 983-991, 2000.
24. G.P. Rao and H. Garnier, "Numerical illustrations of the relevance of direct continuous-time model identification," in 15th Triennial IFAC World Congress on Automatic Control, Barcelona (Spain), July 2002.
25. L. Ljung, "Initialisation aspects for subspace and output-error identification methods," in European Control Conference (ECC'2003), Cambridge (U.K.), September 2003.
26. P.C. Young, "Advances in real-time flood forecasting"," Philosophical Trans. Royal Society, Physical and Engineering Sciences, vol. 360, no. 9, pp. 1433-1450, 2002.
27. P.C. Young, "Identification and estimation of continuous-time hydrological models from discrete-time data," in International Conference on Hydrology: Science and Practice for the 21st century, London (U.K.), July 2004.
28. T. Bastogne, H. Garnier, and P. Sibille, "A PMF-based subspace method for continuous-time model identification. Application to a multivariable winding process," International Journal of Control, vol. 74, no. 2, pp. 118-132, 2001.
29. E. Huselstein, M. Gilson, H. Garnier, and A. Richard, "Instrumental variable algorithms for multiple input systems described by multiple continuous-time TF models," in Asian Control Conference, Melbourne (Australia), July 2004.