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Worst-Case l1 Identification

  • M. Milanese

Abstract

In this chapter recent results on nonparametric and mixed parametric-nonparametric l 1 identification are reviewed. These results mainly concern the evaluation of the identification errors, the design of experiment, the selection of the model structure, the construction of optimal and almost optimal algorithms, and the convergence properties of the identification algorithms.

Keywords

Impulse Response Identification Procedure Nonparametric Approach Projection Algorithm Identification Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • M. Milanese
    • 1
  1. 1.Dipartimento di Automatica e InformaticaPolitecnico di TorinoTorinoItaly

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