arXiv Open Access 2011

The Recursive Gauss-Newton Filter

Roaldje Nadjiasngar Michael Inggs
Lihat Sumber

Abstrak

This paper presents a compact, recursive, non-linear, filter, derived from the Gauss-Newton (GNF), which is an algorithm that is based on weighted least squares and the Newton method of local linearisation. The recursive form (RGNF), which is then adapted to the Levenberg-Maquardt method is applicable to linear / nonlinear of process state models, coupled with the linear / nonlinear observation schemes. Simulation studies have demonstrated the robustness of the RGNF, and a large reduction in the amount of computational memory required, identified in the past as a major limitation on the use of the GNF.

Topik & Kata Kunci

Penulis (2)

R

Roaldje Nadjiasngar

M

Michael Inggs

Format Sitasi

Nadjiasngar, R., Inggs, M. (2011). The Recursive Gauss-Newton Filter. https://arxiv.org/abs/1110.5212

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2011
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓