Nonlinear observers appearing in dynamical machine vision

Hiroshi Inaba; Rixat Abdursul; Bijoy K. Ghosh

doi:10.1109/CDC.2004.1429349

Nonlinear observers appearing in dynamical machine vision

Hiroshi Inaba, Rixat Abdursul, Bijoy K. Ghosh

Mathematics and Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2004 43rd IEEE Conference on Decision and Control (CDC)
Pages	3903-3908
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2004.1429349
State	Published - 2004
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: Dec 14 2004 → Dec 17 2004

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	4
ISSN (Print)	0191-2216

Conference

Conference	2004 43rd IEEE Conference on Decision and Control (CDC)
Country	Bahamas
City	Nassau
Period	12/14/04 → 12/17/04

Access to Document

10.1109/CDC.2004.1429349

Link to publication in Scopus

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title = "Nonlinear observers appearing in dynamical machine vision",

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.",

author = "Hiroshi Inaba and Rixat Abdursul and Ghosh, {Bijoy K.}",

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doi = "10.1109/CDC.2004.1429349",

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Inaba, H, Abdursul, R & Ghosh, BK 2004, Nonlinear observers appearing in dynamical machine vision. in 2004 43rd IEEE Conference on Decision and Control (CDC)., ThC07.6, Proceedings of the IEEE Conference on Decision and Control, vol. 4, pp. 3903-3908, 2004 43rd IEEE Conference on Decision and Control (CDC), Nassau, Bahamas, 12/14/04. https://doi.org/10.1109/CDC.2004.1429349

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T1 - Nonlinear observers appearing in dynamical machine vision

AU - Inaba, Hiroshi

AU - Abdursul, Rixat

AU - Ghosh, Bijoy K.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=14244258551&partnerID=8YFLogxK

U2 - 10.1109/CDC.2004.1429349

DO - 10.1109/CDC.2004.1429349

M3 - Conference contribution

AN - SCOPUS:14244258551

SN - 0780386825

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 3903

EP - 3908

BT - 2004 43rd IEEE Conference on Decision and Control (CDC)

Y2 - 14 December 2004 through 17 December 2004

ER -