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Nonparametric approaches to identification

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Identification of Continuous-Time Systems

Part of the book series: International Series on Microprocessor-Based Systems Engineering ((ISCA,volume 7))

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.

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© 1991 Springer Science+Business Media Dordrecht

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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

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  • 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

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