Title
Convergence of Nonlinear Observers on With a Riemannian Metric (Part I)
Abstract
We study how convergence of an observer whose state lives in a copy of the given system's space can be established using a Riemannian metric. We show that the existence of an observer guaranteeing the property that a Riemannian distance between system and observer solutions is nonincreasing implies that the Lie derivative of the Riemannian metric along the system vector field is conditionally negative. Moreover, we establish that the existence of this metric is related to the observability of the system's linearization along its solutions. Moreover, if the observer has an infinite gain margin then the level sets of the output function are geodesically convex. Conversely, we establish that, if a complete Riemannian metric has a Lie derivative along the system vector field that is conditionally negative and is such that the output function has a monotonicity property, then there exists an observer with an infinite gain margin.
Year
DOI
Venue
2016
10.1109/TAC.2011.2179873
Automatic Control, IEEE Transactions
Keywords
DocType
Volume
asymptotic stability,convergence,differential geometry,linearisation techniques,observers,vectors,Lie derivative,Riemannian distance,Riemannian metric,geodesically convex function,inhnite gain margin,monotonicity property,nonlinear observer convergence,observability,output function,system linearization,system vector held,Riemannian metric,asymptotic stability,observers
Journal
57
Issue
ISSN
Citations 
7
0018-9286
8
PageRank 
References 
Authors
0.57
3
2
Name
Order
Citations
PageRank
Ricardo G. Sanfelice121627.88
Laurent Praly280.57