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Reduced approximations in parameter identification of hereditary systems

  • Identification And Estimation
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System Modeling and Optimization

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 38))

Abstract

In closing we comment that the practical observation: given the special structure of B(γ) in (1.1) the "full" spline approximation will include superfluous variables; is not startling. However it is interesting to note that "equivalence" of the reduced and full systems is established via an abstract semi-group formulation. A direct comparision of the respective ordinary-differential equation models (4.1) – (4.2) and (4.4) – (4.5) is not a useful approach.

This research was supported in part by the National Science Foundation under grant ECS-8109245.

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R. F. Drenick F. Kozin

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© 1982 Springer-Verlag

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Cliff, E.M., Burns, J.A. (1982). Reduced approximations in parameter identification of hereditary systems. In: Drenick, R.F., Kozin, F. (eds) System Modeling and Optimization. Lecture Notes in Control and Information Sciences, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006141

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  • DOI: https://doi.org/10.1007/BFb0006141

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  • Print ISBN: 978-3-540-11691-2

  • Online ISBN: 978-3-540-39459-4

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