Efficiency of an Approximate Nonlinear Filter for a Particular Class of Nonlinear Diffusion with Observations Corrupted by Small Noise

• Type: Article in International Conference Proceedings Book
• Date: 2000

Authors

Paula Milheiro de Oliveira (Author) FEUP; Jean Picard (Author) Other

Conference proceedings International

Title: PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5

Pages: 1599-1601

39th IEEE Conference on Decision and Control

SYDNEY, AUSTRALIA, DEC 12-15, 2000

Indexing

ISI Web of Science

Scopus

Scientific classification

FOS: Natural sciences > Mathematics

CORDIS: Physical sciences > Mathematics > Applied mathematics > Engineering mathematics

Other information

DOI: 10.1109/CDC.2000.912089

Abstract (EN): The asymptotic behaviour of a nonlinear continuous time approximate filter when the variance of the observation noise tends to 0 is investigated. We consider a particular class of signals modeled by a two-dimensional quasi-linear diffusion from which only one of the components is noisy, and we assume that a one-dimensional linear function of the signal, depending only of the unnoisy component, is observed in a low noise channel. Under some detectability assumptions the unobserved signal can be restored by means of an approximate nonlinear filter. We establish that the filtering error converges to 0 and we give an upper bound for the convergence rate. The efficiency of the approximate filter is compared with the efficiency of the optimal filter and the order of magnitude of the error between the two filters, as the observation noise vanishes, is obtained. A more general case is briefly presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 3