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Worst-Case l 1 Identification

In: Bounding Approaches to System Identification

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  • M. Milanese

    (Politecnico di Torino, Dipartimento di Automatica e Informatica)

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.

Suggested Citation

  • M. Milanese, 1996. "Worst-Case l 1 Identification," Springer Books, in: Mario Milanese & John Norton & Hélène Piet-Lahanier & Éric Walter (ed.), Bounding Approaches to System Identification, chapter 11, pages 169-181, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-9545-5_11
    DOI: 10.1007/978-1-4757-9545-5_11
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