Publications de Michael Amrhein

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Multivariate curve resolution via alternating least squares (ALS) is used to resolve the concentration profiles C and the pure component spectra E of S species from the multivariate absorbance data A, assuming the bilinear model ...

This paper addresses the control of the blending process in cement industries. This process can be modeled by a nonlinear multivariable system with large parametric uncertainty. Using a specific transformation, a linear parameter varying (LPV) model with s ...

Models of chemical reaction systems can be quite complex as they typically include information regarding the reactions, the various transfers of heat and mass, as well as the effects of the inlet and outlet flows. It is well known that a linear transformat ...

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- ...

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 ...

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 ...

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 ...

Michael Amrhein

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ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Robust gain-scheduled blending control of raw-mix quality in cement industries

Concept and Applications of Extents in Chemical Reaction Systems

On multivariate calibration with unlabeled data

Minimal state representation of homogeneous reaction systems

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

Rank analysis of spectral reaction data for factor-analytical methods

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

Constrained multi-rate state estimator incorporating delayed measurements

Correction of systematic disturbances in latent-variable calibration models

On-line data reconciliation of mid-infrared and dielectric spectral measurements for the estimation of analyte and biomass concentrations in microbial fermentations

On-line recalibration of FTIR measurements using metabolite injections and dynamic orthogonal projection

Revolutionary Development in Process Engineering

On the bias-variance trade-off in principal component regression with unlabeled data