TY - GEN
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)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2004 43rd IEEE Conference on Decision and Control (CDC)
Y2 - 14 December 2004 through 17 December 2004
ER -