Nonlinear Observers for Perspective Time-Invariant Linear Systems

Rixat Abdursul, Hiroshi Inaba, Bijoy K. Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Perspective dynamical systems arise in machine vision, in which only perspective observation is available. This paper proposes and studies a Luenberger-type nonlinear observer for perspective time-invariant linear systems. Assuming a given perspective time-invariant linear system to be Lyapunov stable and to satisfy some sort of detectability condition, it is shown that the estimation error converges exponentially to zero. Finally, a simple numerical example is presented to illustrate the result obtained.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages6319-6324
Number of pages6
DOIs
StatePublished - 2003
Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
Duration: Dec 9 2003Dec 12 2003

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume6
ISSN (Print)0191-2216

Conference

Conference42nd IEEE Conference on Decision and Control
CountryUnited States
CityMaui, HI
Period12/9/0312/12/03

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  • Cite this

    Abdursul, R., Inaba, H., & Ghosh, B. K. (2003). Nonlinear Observers for Perspective Time-Invariant Linear Systems. In Proceedings of the IEEE Conference on Decision and Control (pp. 6319-6324). (Proceedings of the IEEE Conference on Decision and Control; Vol. 6). https://doi.org/10.1109/CDC.2003.1272315