Michael Amrhein

Cette personne a quitté l’EPFL

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Confidentialité
Mentions légales

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Publications associées (26)

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On multivariate calibration with unlabeled data

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

In principal component regression (PCR) and partial least-squares regression (PLSR), the use of unlabeled data, in addition to labeled data, helps stabilize the latent subspaces in the calibration step, typically leading to a lower prediction error. A non- ...

Wiley-Blackwell2011

Minimal state representation of homogeneous reaction systems

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

Minimal state representations are parsimonious models having no redundant states. For homogeneous reaction systems with S species, R independent reactions, p independent inlet streams and one outlet stream, a nonlinear transformation of the numbers of mole ...

2010

Extents of reaction and flow for homogeneous reaction systems with inlet and outlet streams

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

This paper proposes two transformations for homogeneous reaction systems with inlet and outlet streams that allow isolating three distinct parts of the state vector, namely, the reaction variants, the reaction invariants but inlet- ﬂow variants, and the re ...

2010

Rank analysis of spectral reaction data for factor-analytical methods

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

Cemagref Languedoc Roussillon2008

Rank augmentation of spectral reaction data using calorimetric and gas consumption data

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

Cemagref Languedoc Roussillon2008

Constrained multi-rate state estimator incorporating delayed measurements

Dominique Bonvin, Michael Amrhein, Sriniketh Srinivasan

Frequent and accurate concentration estimates are important for the on-line control and optimization of chemical reaction systems. Such estimates can be obtained using state estimation methods that fuse frequent (fast) delay-free on-line measurements with ...

IEEE2017