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CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
13 years 5 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
AUTOMATICA
2010
110views more  AUTOMATICA 2010»
13 years 11 months ago
Moving-horizon partition-based state estimation of large-scale systems
This paper presents three novel Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-over...
Marcello Farina, Giancarlo Ferrari-Trecate, Riccar...
AUTOMATICA
2007
58views more  AUTOMATICA 2007»
13 years 11 months ago
A parametric programming approach to moving-horizon state estimation
Mark L. Darby, Michael Nikolaou
ICMLA
2008
14 years 9 days ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ICASSP
2011
IEEE
13 years 2 months ago
Discriminatively estimated discrete, parametric and smoothed-discrete duration models for speech recognition
Duration of phonemic segments provide important cues for distinguishing words in languages such as Arabic. Recently, we proposed a discriminatively estimated joint acoustic, durat...
Maider Lehr, Izhak Shafran