Nonlinear observers for perspective time-invariant linear systems

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, some simple numerical examples are presented to illustrate the result obtained. ? 2003 Elsevier Ltd. All rights reserved.

• Type: Journal
• Year: 2004
• Where: AUTOMATICA
• Authors: Rixat Abdursul, Hiroshi Inaba, Bijoy K. Ghosh
• Keywords: AUTOMATICA 2004, Linear System, Perspective Dynamical Systems, Time-invariant Linear