Identification of low-order models using Laguerre basis function expansions⁎. Issue 15 (2018)

• Record Type: Journal Article
• Authors: Manngård, Mikael; Toivonen, Hannu T.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 15(2018)
• Page Start: 72
• Page End: 77
• Publication Date: 2018
• Subjects: System identification -- Laguerre basis -- nuclear norm regularization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.09.093
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, a method for identification of low-order output-error models expressed in terms of Laguerre basis functions is presented. The identification problem is formulated as a rank-constrained optimization problem in the Laguerre domain, which can be solved efficiently using nuclear norm regularization. Since the identified models are of low order, a minimal state-space realization of the system can be obtained without the use of additional approximative model-order reduction steps.