@inproceedings{c946732e124b43e2946e7f62b0195d95,
title = "Luenberger-type observers for perspective linear systems",
abstract = "Perspective dynamical systems arise in machine vision, in which only perspective observation is available, and the essential problem is to estimate the state and /or unknown parameters for a moving rigid body based on the observed information. This paper proposes and studies a Luenberger-type observer for perspective linear systems. In particular, assuming a given perspective 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, some simple numerical examples are presented to illustrate the result obtained.",
keywords = "detectability, exponential stability, machine vision, nonlinear observer, perspective system",
author = "Rixat Abdursul and Hiroshi Inaba and Ghosh, {Bijoy K.}",
note = "Publisher Copyright: {\textcopyright} 2001 EUCA.; 6th European Control Conference, ECC 2001 ; Conference date: 04-09-2001 Through 07-09-2001",
year = "2001",
doi = "10.23919/ecc.2001.7076377",
language = "English",
series = "2001 European Control Conference, ECC 2001",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2924--2929",
booktitle = "2001 European Control Conference, ECC 2001",
}