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CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
12 years 11 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 4 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 4 months ago
A parametric programming approach to moving-horizon state estimation
Mark L. Darby, Michael Nikolaou
ICMLA
2008
13 years 6 months 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
12 years 8 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