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» Dynamic range estimation for nonlinear systems
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CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
14 years 4 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
CDC
2008
IEEE
133views Control Systems» more  CDC 2008»
14 years 9 months ago
A nonlinear least squares estimation procedure without initial parameter guesses
Abstract-- This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feat...
Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor...
LOCA
2009
Springer
15 years 4 months ago
Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering
This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning ...
Kavitha Muthukrishnan, Mike Hazas
AR
2004
86views more  AR 2004»
14 years 9 months ago
Exact non-linear Bayesian parameter estimation for autonomous compliant motion
This paper presents theoretical and experimental results for the estimation of large position and orientation inaccuracies during force-controlled compliant motion. This is a signi...
Tine Lefebvre, Herman Bruyninckx, Joris De Schutte...
76
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ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
15 years 2 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling