Nonlinear observers appearing in dynamical machine vision

Hiroshi Inaba, Rixat Abdursul, Bijoy K. Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Perspective dynamical systems arise in dynamic machine vision, in which only perspective observation is available. This paper first develops a perspective linear system in which the number of observing points is more than one, and studies a Luenberger-type nonlinear observer for such a system Then assuming a given perspective linear system to be Lyapunov stable and to satisfy some sort of detestability condition, it is shown that the estimation error converges exponentially to zero.

Original languageEnglish
Title of host publication2004 43rd IEEE Conference on Decision and Control (CDC)
Pages3903-3908
Number of pages6
DOIs
StatePublished - 2004
Event2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas
Duration: Dec 14 2004Dec 17 2004

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0191-2216

Conference

Conference2004 43rd IEEE Conference on Decision and Control (CDC)
CountryBahamas
CityNassau
Period12/14/0412/17/04

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