On-Line Structure Selection for Multivariable State-Space Models
1982 (English)In: Automatica, ISSN 0005-1098, Vol. 18, no 5, 529-543 p.Article in journal (Refereed) Published
An algorithm is described for the selection of model structure for identifying state-space models of ‘black box’ character. The algorithm receives as ‘input’ a given system in a given parametrization. It is then tested whether this parametrization is suitable (well conditioned) for identification purposes. If not, a better one is selected and the transformation of the system to the new representation is performed. This algorithm can be used as a block both in an iterative, off-line identification procedure, and for recursive, on-line identification. It can be called whenever there is some indication that the model structure is ill-conditioned. It is discussed how the model structure selection algorithm can be interfaced with an off-line identification procedure. A complete procedure is described and tested on real and simulated data.
Place, publisher, year, edition, pages
Elsevier, 1982. Vol. 18, no 5, 529-543 p.
Identification, Multivariable systems, Model structure selection
IdentifiersURN: urn:nbn:se:liu:diva-102221DOI: 10.1016/0005-1098(82)90003-6OAI: oai:DiVA.org:liu-102221DiVA: diva2:675515