Indirect continuous-time system identification-A subspace downsampling approach

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

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

Ata de Conferência Internacional

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

Páginas: 6463-6468

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

Orlando, FL, DEC 12-15, 2011

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6