Categories of nonlinear dynamic models
type: Item
instance of: scholarly article
zbMATH Open document ID: 0982.93012
author: Ronald K. Pearson
publication date: 2002-03-13T00:00:00Z
Mathematics Subject Classification ID: 93A30
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 1617875
zbMATH Keywords: nonlinear model predictive control
zbMATH Keywords: empirical model identification
zbMATH Keywords: category theory
zbMATH Keywords: behaviour
MaRDI profile type: Publication
title: Categories of nonlinear dynamic models
review text: The paper discusses practical model requirements for nonlinear model predictive control together with some of the advantages and practical limitations of empirical model identification. The basic aim of this work is to propose category theory as a systematic basis for considering both the empirical modelling problem and the question of behavioural constraints. Use of category theory has the advantage that it forces the consideration of models and input sequences together and second, that it provides a simple framework for examining the behavioural differences between model classes.NEWLINENEWLINEFor the entire collection see [Zbl 0961.00036].
reviewed by: Inge Troch
description: scientific article; zbMATH DE number 1617875