Indirect continuous-time system identification-A subspace downsampling approach

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

P. Lopes dos Santos (Author) FEUP; Azevedo Perdicoulis, TP (Author) Other; Ramos, JA (Author) Other; Jank, G (Author) Other; Jorge Martins de Carvalho (Author) FEUP

Conference proceedings International

Title: 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC)

Pages: 6463-6468

50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC)

Orlando, FL, DEC 12-15, 2011

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-002-WE3

DOI: 10.1109/cdc.2011.6160622

Abstract (EN): This article presents a new indirect identification method for continuous-time systems able to resolve the problem of fast sampling. To do this, a Subspace IDentification Down-Sampling (SIDDS) approach that takes into consideration the intermediate sampling instants of the input signal is proposed. This is done by partitioning the data set into m subsets, where m is the downsampling factor. Then, the discrete-time model is identified using a based subspace identification discrete-time algorithm where the data subsets are fused into a single one. Using the algebraic properties of the system, some of the parameters of the continuous-time model are directly estimated. A procedure that secures a prescribed number of zeros for the continuous-time model is used during the estimation process. The algorithm's performance is illustrated through an example of fast sampling, where its performance is compared with the direct methods implemented in Contsid.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6