Due to the growing amount of data from in-situ sensors in environmental monitoring, it
becomes necessary to automatically detect anomalous data points. Nowadays, this is mainly …

Abstract Model-based methods are increasingly used in all areas of biopharmaceutical
process technology. They can be applied in the field of experimental design, process …

This review reports on the main results of a set of kinetic elucidation methods developed by
our team over the last few years. Formalisms, procedures and examples to solve all possible …

Microkinetic analysis of ethanol to 1, 3-butadiene reactions over MgO-SiO 2 catalysts was
performed based on the detailed characterization of experimental fluctuations, taking into …

Process models include a variety of parameters that need to be estimated from experimental
data. To obtain an accurate estimate of the parameters, it is imperative that the experiments …

In this paper, we present a numerical method for optimal experiment design of nonlinear
dynamic processes. Here, we suggest to optimize an approximation of the predicted …

The first English edition of this book was published in 2014. This book was originally
intended for undergraduate and graduate students and had one major objective: teach the …

Experimental design procedures for model discrimination and for estimation of precise
model parameters are usually treated as independent techniques. In order to conciliate the …

The value of reaction kinetic models for manufacturing APIs (active pharmaceutical
ingredients) has been well established in the quality by design (QbD) paradigm. Creating …

The lack of hydrogeological data and knowledge often results in different propositions (or
alternatives) to represent uncertain model components and creates many candidate …