Extended model set, global data and threshold model identification of severely non-linear systems
International Journal of ControlPublished 1 November 1989
S.A. Billings, Sheng Chen
Citations139
SJR quartileQ2
SJR score0.68
SNIP0.90
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Abstract
Abstract New parameter estimation algorithms, based on an extended model set, a global data model and a threshold model formulation, are derived for identifying severely non-linear systems. It is shown that in each case an integrated structure determination and parameter estimation algorithm based on an orthogonal decomposition of the regression matrix can be derived to provide procedures for identifying parsimonious models of unknown systems with complex structure. Simulation studies are included to illustrate the techniques discussed.
Keywords
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