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On a weighting method improving identifiability of distributed parameter systems

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Optimal Control of Partial Differential Equations

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 149))

Abstract

The proposed method improves the convexity of the criterion. It is clear that the computational effort required by this method may be rewarding only in the case of ill conditionned problems. For that reason the efficiency of the method is particularly illustrated by examples where the classical approach fails. A lot of questions still remain pending in particular the study of the "strong identifiability hypothesis" and the interpretation of the new estimate ϑw.

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References

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Author information

Authors and Affiliations

  1. UTC, BP 649, 60206, Compiègne Cedex, France

    F. Guyon & J. P. Yvon

  2. INRIA, Domaine de Voluceau, BP 105, 78153, Rocquencourt, France

    J. Henry

Authors
  1. F. Guyon
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  2. J. P. Yvon
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  3. J. Henry
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Editor information

Karl-Heinz Hoffmann Werner Krabs

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© 1991 International Federation for Information Processing

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Guyon, F., Yvon, J.P., Henry, J. (1991). On a weighting method improving identifiability of distributed parameter systems. In: Hoffmann, KH., Krabs, W. (eds) Optimal Control of Partial Differential Equations. Lecture Notes in Control and Information Sciences, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0043218

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  • DOI: https://doi.org/10.1007/BFb0043218

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53591-1

  • Online ISBN: 978-3-540-46883-7

  • eBook Packages: Springer Book Archive

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