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Identification of Nonlinear State-Space Models by Deterministic Search

In: Bounding Approaches to System Identification

Author

Listed:
  • J. P. Norton

    (University of Birmingham, School of Electronic and Electrical Engineering)

  • S. M. Veres

    (University of Birmingham, School of Electronic and Electrical Engineering)

Abstract

An economical technique for tracing the boundary of a two-dimensional cross section of the feasible parameter set for a model with bounded output error is described. It allows exploration of a boundary which is not piecewise linear and may not be convex. First a point on the boundary is found, then a line search is executed, adapting to local behavior of the boundary. Resolution may be traded against computational speed by choice of the search parameters.

Suggested Citation

  • J. P. Norton & S. M. Veres, 1996. "Identification of Nonlinear State-Space Models by Deterministic Search," Springer Books, in: Mario Milanese & John Norton & Hélène Piet-Lahanier & Éric Walter (ed.), Bounding Approaches to System Identification, chapter 20, pages 317-331, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-9545-5_20
    DOI: 10.1007/978-1-4757-9545-5_20
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