Kronecker canonical forms for perspective systems with applications to parameter identification

Satoru Takahashi, Bijoy K. Ghosh, Hiroshi Inaba

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we introduce canonical forms for perspective dynamical systems and illustrate their application to parameter identification with the aid of a single CCD camera as sensor. We show that the parameters in the canonical form can be identified uniquely using an Extended Kalman Filter (EKF) provided that the a priori estimates of the parameters are close to the true value. The main contribution of this paper is twofold: Parameterization of perspective dynamical systems with a given set of Kronecker indices and application of EKF technique to identify the parameters.

Original languageEnglish
Pages (from-to)2215-2219
Number of pages5
JournalProceedings of the American Control Conference
Volume4
DOIs
StatePublished - 2000

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