Abstract
Nonparametric identification methods, i.e. the methods for determining the frequency and the impulse responses from the measured data are presented. Based on a brief review of system and signal processing theory the Fourier analysis, the Spectral analysis, the Frequency response analysis and the Correlation analysis are described. Also bias and convergence analysis is given for all methods. Finally some problems with practical application of the methods on a digital computer are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Äström, K.J. (1970), “Introduction to stochastic control theory”, Academic Press, New York.
Äström, K.J. and P. Eykhoff (1971), “System identification — a survey”, Automatica, vol.7, pp. 123–162.
Bendat, J.S. and A.G. Piersol (1971), “Random data: analysis and measurement procedures”, Wiley-Interscience, New York.
Borrie, J.A. (1986), “Modern control systems”, Prentice Hall, Englewoods Cliffs N.J.
Davies, W.D.T. (1970), “System identification for self-adaptive control”, Wiley-Interscience, London.
Eykhoff, P. (1974), “System Identification, Parameter and State Estimation”, John Wiley, London.
Isermann, R. (1971), “Experimentelle Analyse der Dynamik von Regelsystemen”, Bibliographisches Institut, Nr. 515/515a, Mannheim.
Isermann, R. (1988), “Identifikation dynamischer Systeme I, II”, Springer, Berlin.
Ljung, L. (1987), “System identification: Theory for the user”, Prentice Hall, Englewoods Cliffs N.J.
Norton, J.P. (1986), “An introduction to identification”, Academic Press, London.
Sage, A.P., and J.L. Melsa (1971), “System identification”, Academic Press, New York.
Sinha, N. K. and B. Kuszta (1983), “Modeling and Identification of Dynamic Systems”, Van Nostrand Reinhold Company, New York.
Söderström, T. and P. Stoica (1989), “System identification”, Prentice Hall, New York.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Matko, D. (1991). Nonparametric approaches to identification. In: Sinha, N.K., Rao, G.P. (eds) Identification of Continuous-Time Systems. International Series on Microprocessor-Based Systems Engineering, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3558-0_18
Download citation
DOI: https://doi.org/10.1007/978-94-011-3558-0_18
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5576-5
Online ISBN: 978-94-011-3558-0
eBook Packages: Springer Book Archive