Robustness of Gauss-Newton recursive methods: A deterministic feedback analysis
type: Item
instance of: scholarly article
title: Robustness of Gauss-Newton recursive methods: A deterministic feedback analysis
zbMATH Open document ID: 0864.94003
DOI: 10.1016/0165-1684(96)00022-9
author: Markus Rupp
author: Ali H. Sayed
published in: Signal Processing
publication date: 1997-02-27T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 983819
zbMATH Keywords: Adaptive Gauss-Newton filters
zbMATH Keywords: Filtered-error algorithms
zbMATH Keywords: Feedback connection
zbMATH Keywords: \(l_{2}\)-stability
zbMATH Keywords: The small gain theorem
zbMATH Keywords: Contraction mapping
zbMATH Keywords: Passivity relations
zbMATH Keywords: Error bounds
MaRDI profile type: Publication
full work available at URL: 0165-1684(96)00022-9
OpenAlex ID: W2069759240
Wikidata QID: Q128080935
description: scientific article; zbMATH DE number 983819