Nonparametric instrumental variables for identification of block-oriented systems
By: Grzegorz Mzyk
Open Access
|Sep 2013References
- Bai, E. (1998). An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems,(3): 333-338.
- Chen, S. and Billings, S. (1989). Representations of non-linear systems: The NARMAX model,(3): 1013-1032.
- Chow, Y. and Teicher, H. (2003)., Springer-Verlag, New York, NY.
- Findeisen, W., Bailey, F., Brdyś, M., Malinowski, K., Tatjewski, P. and Woźniak, A. (1980)., J. Wiley, Chichester/New York, NY.
- Finigan, B. and Rowe, I. (1974). Strongly consistent parameter estimation by the introduction of strong instrumental variables,(6): 825-830.
- Giri, F. and Bai, E.W. (2010)., Lecture Notes in Control and Information Sciences, Vol. 404, Springer, Berlin.
- Greblicki, W. and Pawlak, M. (2008)., Cambridge University Press, New York, NY.
- Haber, R. and Keviczky, L. (1999)., Kluwer Academic Publishers, Dordrecht.
- Hannan, E. and Deistler, M. (1988)., John Wiley and Sons, New York, NY.
- Hansen, L. and Singleton, K. (1982). Generalized instrumental variables estimation of nonlinear rational expectations models,(5): 1269-1286.
- Hasiewicz, Z. (1989). Applicability of least-squares to the parameter estimation of large-scale no-memory linear composite systems,(12): 2427-2449.
- Hasiewicz, Z. and Mzyk, G. (2009). Hammerstein system identification by non-parametric instrumental variables,(3): 440-455.
- Hill, D. and Chong, C. (1989). Lyapunov functions of Lur’e-Postnikov form for structure preserving models of power systems,(3): 453-460.
- Hill, D. and Mareels, I. (1990). Stability theory for differential/algebraic systems with application to power systems,(11): 1416-1423.
- Kincaid, D. and Cheney, E. (2002)., Vol. 2, American Mathematical Society, Pacific Grove, CA.
- Kowalczuk, Z. and Kozłowski, J. (2000). Continuous-time approaches to identification of continuous-time systems,(8): 1229-1236.
- Kudrewicz, J. (1976)., PWN, Warsaw, (in Polish).
- Lu, J. and Hill, D. (2007). Impulsive synchronization of chaotic Lur’e systems by linear static measurement feedback: An LMI approach,(8): 710-714.
- Mzyk, G. (2007). Generalized kernel regression estimate for the identification of Hammerstein systems,(2): 189-197, DOI: 10.2478/v10006-007-0018-z.
- Mzyk, G. (2009). Nonlinearity recovering in Hammerstein system from short measurement sequence,(9): 762-765.
- Mzyk, G. (2013). Instrumental variables for nonlinearity recovering in block-oriented systems driven by correlated signal,, DOI: 10.1080/00207721.2013.775682.
- Rao, C. (1973)., Wiley, New York, NY.
- Sagara, S. and Zhao, Z.-Y. (1990). Numerical integration approach to on-line identification of continuous-time systems,(1): 63-74.
- Sastry, S. (1999)., Interdisciplinary Applied Mathematics, Vol. 10, Springer, New York, NY.
- Söderström, T. and Stoica, P. (1983)., Vol. 161, Springer-Verlag, Berlin.
- Söderström, T. and Stoica, P. (1989)., Prentice Hall, Englewood Cliffs, NJ.
- Söderström, T. and Stoica, P. (2002). Instrumental variable methods for system identification,(1): 1-9.
- Stoica, P. and Söderström, T. (1982). Instrumental-variable methods for identification of Hammerstein systems,(3): 459-476.
- Suykens, J., Yang, T. and Chua, L. (1998). Impulsive synchronization of chaotic Lur’e systems by measurement feedback,(06): 1371-1381.
- Ward, R. (1977). Notes on the instrumental variable method,(3): 482-484.
- Wong, K. and Polak, E. (1967). Identification of linear discrete time systems using the instrumental variable method,(6): 707-718.
- Zhang, Y., Bai, E., Libra, R., Rowden, R. and Liu, H. (1996).Simulation of spring discharge from a limestone aquifer in Iowa, USA,(4): 41-54.
- Zhao, Z.-Y., Sagara, S. andWada, K. (1991). Bias-compensating least squares method for identification of continuous-time systems from sampled data,(2): 445-461.
Language: English
Page range: 521 - 537
Published on: Sep 30, 2013
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2013 Grzegorz Mzyk, published by University of Zielona Góra
This work is licensed under the Creative Commons License.