Home > System Identification > 15th IFAC Symposium on System Identification, 2009 > A Stability Approach to the Analysis of Rotation Time Series
A Stability Approach to the Analysis of Rotation Time Series
System Identification, Volume # 15 | Part# 1
Location: Saint-Malo Convention Center, Saint-Malo, France
National Organizing Committee Chair: Basseville, Michele
International Program Committee Chair: Vicino, Antonio,
Panciatici, Patrick
Conference Editor: Walter, Eric
Authors
Said, Salem; Le Bihan, Nicolas; Sangwine, Stephen J.
Identifier
10.3182/20090706-3-FR-2004.00241
Index Terms
Filtering and Smoothing; Time Series
Abstract
Local linearization is employed in the analysis of rotation time series in order to overcome difficulties related to non linear constraints and non commutativity. This paper obtains results on the stability and invariance properties of local linearization and their importance to applications.
References
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