The identification of nonlinear biological systems: LNL cascade models
type: Item
instance of: scholarly article
title: The identification of nonlinear biological systems: LNL cascade models
zbMATH Open document ID: 0611.92001
author: M. J. Korenberg
author: I. W. Hunter
published in: Biological Cybernetics
publication date: 1986-01-01T00:00:00Z
review text: The paper deals with identification of systems represented by a cascade of a dynamic linear, a static nonlinear and a dynamic linear subsystem (LNL systems). Various identification schemes that have been proposed for these systems are critically reviewed. Analysis is focused on special problems arising in identification of nonlinear biological systems. An example is presented in which identification of each of the elements of a simulated LNL system from a limited duration input-output record is performed by an iterative identification scheme. Exact description of the LNL identification algorithm is provided in the conclusion.
Mathematics Subject Classification ID: 92B05
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93A99
Mathematics Subject Classification ID: 92F05
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 3989141
zbMATH Keywords: limited duration input-output data
zbMATH Keywords: dynamic linear systems
zbMATH Keywords: static nonlinear systems
zbMATH Keywords: LNL systems
zbMATH Keywords: nonlinear biological systems
zbMATH Keywords: iterative identification scheme
zbMATH Keywords: LNL identification algorithm
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 3989141