An introduction to models based on Laguerre, Kautz and other related orthonormal functions. Part I: linear and uncertain models

Oliveira, Gustavo H.C., da Rosa, Alex, Campello, Ricardo J.G.B., Machado, Jeremias B., and Amaral, Wagner C. (2011) An introduction to models based on Laguerre, Kautz and other related orthonormal functions. Part I: linear and uncertain models. International Journal of Modelling, Identification and Control, 14 (1/2). pp. 121-132.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1504/IJMIC.2011.042...
 
14
1


Abstract

his paper provides an overview of system identification using orthonormal basis function models, such as those based on Laguerre, Kautz, and generalised orthonormal basis functions. The paper is separated in two parts. In this first part, the mathematical foundations of these models as well as their advantages and limitations are discussed within the context of linear and robust system identification. The second part approaches the issues related with non-linear models. The discussions comprise a broad bibliographical survey of the subjects involving linear models within the orthonormal basis functions framework. Theoretical and practical issues regarding the identification of these models are presented and illustrated by means of a case study involving a polymerisation process.

Item ID: 46792
Item Type: Article (Research - C1)
ISSN: 1746-6172
Funders: CNPq, Brazil, FAPESP, Research Foundation of the State of Paraná
Date Deposited: 23 May 2017 02:20
FoR Codes: 01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page