Polynomial filtering and identification of discrete-time nonlinear uncertain stochastic systems (Contributo in atti di convegno)

Type
Label
  • Polynomial filtering and identification of discrete-time nonlinear uncertain stochastic systems (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/CDC.2005.1582440 (literal)
Alternative label
  • Germani, A. and Manes, C and Palumbo, P (2005)
    Polynomial filtering and identification of discrete-time nonlinear uncertain stochastic systems
    in 44ht IEEE Conference on Decision and Control & 8th European Control Conference (CDC-ECC 2005), Siviglia, Spagna, 2005
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Germani, A. and Manes, C and Palumbo, P (literal)
Pagina inizio
  • 1917 (literal)
Pagina fine
  • 1922 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@71b56888 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3ce1f30a Through org.apache.xalan.xsltc.dom.DOMAdapter@161b34c0; Conference Code:69208 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-33847221107&partnerID=40&md5=94d3c7fe6c18db7e9fa1fe8024e8c68b (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2005 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Università degli Studi dell'Aquila Università degli Studi dell'Aquila IASI-CNR (literal)
Titolo
  • Polynomial filtering and identification of discrete-time nonlinear uncertain stochastic systems (literal)
Abstract
  • This paper deals with the problem of system identification and state estimation for nonlinear uncertain stochastic systems, in the discrete-time framework. By suitably extending the state space with the inclusion of the unknown vector of parameters, the filtering and identification problems are simultaneously solved. The algorithm here proposed applies the optimal polynomial filter of a chosen degree ? to the Carleman approximation of the same degree of the extended nonlinear system. Simulations support theoretical results. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Autore CNR di
Prodotto
Insieme di parole chiave di
data.CNR.it