@article {299,
	title = {Convergence of Nonlinear Observers on $\mathbb{R}^n$ with a {R}iemannian Metric {(Part III)}},
	journal = {IEEE Transactions on Automatic Control},
	year = {2023},
	month = {October},
	pages = {1-16},
	author = {R. G. Sanfelice and L. Praly}
}
@article {127,
	title = {Convergence of Nonlinear Observers on $\mathbb{R}^n$ with a Riemannian Metric {(Part II)}},
	journal = {IEEE Transactions on Automatic Control},
	volume = {61},
	number = {10},
	year = {2016},
	month = {October},
	pages = {2848-2860},
	author = {R. G. Sanfelice and L. Praly}
}
@article {57,
	title = {Convergence of Nonlinear Observers on $\mathbb{R}^n$ with a {R}iemannian Metric {(Part I)}},
	journal = {IEEE Transactions on Automatic Control},
	volume = {57},
	number = {7},
	year = {2012},
	month = {July},
	pages = {1709{\textendash}1722},
	keywords = {observers},
	doi = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6104368},
	url = {http://arxiv.org/abs/1412.6730},
	author = {R. G. Sanfelice and L. Praly}
}
@article {53,
	title = {On the Performance of High-gain Observers with Sign-indefinite Gain Adaptation under Measurement Noise},
	journal = {Automatica},
	volume = {47},
	number = {10},
	year = {2011},
	month = {October},
	pages = {2165{\textendash}2176},
	keywords = {observers},
	doi = {http://www.sciencedirect.com/science/article/pii/S0005109811003736},
	author = {R. G. Sanfelice and L. Praly}
}
@conference {124,
	title = {Solution of a {R}iccati equation for the design of an observer contracting a {R}iemannian distance},
	booktitle = {Proceedings of the IEEE Conference on Decision and Control},
	series = {NULL},
	year = {2015},
	month = {December},
	pages = {4996--5001},
	author = {R. G. Sanfelice and L. Praly}
}
@conference {43,
	title = {A Technical Result for the Study of High-gain Observers with Nonmonotonic Dynamic Gain},
	booktitle = {Proc. NOLCOS 2010},
	series = {NULL},
	year = {2010},
	pages = {284{\textendash}289},
	keywords = {observers},
	author = {R. G. Sanfelice and L. Praly}
}
@conference {39,
	title = {Nonlinear Observer Design with an Appropriate {R}iemannian Metric},
	booktitle = {Proc. 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference},
	series = {NULL},
	year = {2009},
	pages = {6514{\textendash}6519},
	abstract = {<p>An observer whose state lives in the same space as the one of the given system and which guarantees a vanishing estimation error exhibits necessarily a symmetric matrix field which is related to the local observability information. A direct construction of this matrix field is possible by solving off-line ordinary differential equations. Using this symmetric matrix field as a Riemannian metric, we prove that geodesic convexity of the level sets of the output function is sufficient to allow the construction of an observer that contracts the geodesic distance between the estimated state and the system{\textquoteright}s state, globally in the estimated state and semi-globally in the estimation error.</p>},
	keywords = {observers},
	doi = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=5400714},
	author = {R. G. Sanfelice and L. Praly}
}
