The identification of nonlinear biological systems: LNL cascade models
Biological CyberneticsPublished 1 November 1986
Michael J. Korenberg, Ian W. Hunter
Citations221
SJR quartileQ2
SJR score0.52
SNIP0.78
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TL;DR
A simulated LNL system is identified from limited duration input-output data using an iterative identification scheme and various identification schemes proposed are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems.
Abstract
Systems that can be represented by a cascade of a dynamic linear (L), a static nonlinear (N) and a dynamic linear (L) subsystem are considered. Various identification schemes that have been proposed for these LNL systems are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems. A simulated LNL system is identified from limited duration input-output data using an iterative identification scheme.
Keywords
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