The fundamental role of general orthonormal bases in system identification

Ninness, Brett; Hjalmarsson, Hakan; Gustafsson, Fredrik

Title: The fundamental role of general orthonormal bases in system identification
Creator: Ninness, Brett; Hjalmarsson, Hakan; Gustafsson, Fredrik
Relation: IEEE Transactions on Automatic Control Vol. 44, Issue 7, p. 1384 - 1406
Publisher Link: http://dx.doi.org/10.1109/9.774110
Publisher: The Institute of Electrical and Electronic Engineers
Resource Type: journal article
Date: 1999
Description: The purpose of this paper is threefold. Firstly, it is to establish that contrary to what might be expected, the accuracy of well-known and frequently used asymptotic variance results can depend on choices of fixed poles or zeros in the model structure. Secondly, it is to derive new variance expressions that can provide greatly improved accuracy while also making explicit the influence of any fixed poles or zeros. This is achieved by employing certain new results on generalized Fourier series and the asymptotic properties of Toeplitz-like matrices in such a way that the new variance expressions presented here encompass pre-existing ones as special cases. Via this latter analysis a new perspective emerges on recent work pertaining to the use of orthonormal basis structures in system identification. Namely, that orthonormal bases are much more than an implementational option offering improved numerical properties. In fact, they are an intrinsic part of estimation since, as shown here, orthonormal bases quantify the asymptotic variability of the estimates whether or not they are actually employed in calculating them.
Subject: parameter estimation; system identification
Identifier: http://hdl.handle.net/1959.13/26365
Identifier: uon:852
Identifier: ISSN:0018-9286
Language: eng
Full Text
Reviewed

Hits: 2407
Visitors: 3335
Downloads: 673

		Thumbnail	File	Description	Size	Format
View Details Download			ATTACHMENT01	Publisher version (open access)	615 KB	Adobe Acrobat PDF	View Details Download