Identification of Nonlinear State-Space Models by Deterministic Search

J. P. Norton and S. M. Veres
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J. P. Norton: University of Birmingham, School of Electronic and Electrical Engineering
S. M. Veres: University of Birmingham, School of Electronic and Electrical Engineering

Chapter 20 in Bounding Approaches to System Identification, 1996, pp 317-331 from Springer

Abstract: 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.

Keywords: Boundary Point; Line Search; Search Step; Trial Point; Feasible Parameter (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-9545-5_20

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DOI: 10.1007/978-1-4757-9545-5_20

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