Diogo Rodrigues

TL;DR: It is argued that there are still substantial challenges to be addressed along the lines of model structure selection, identifiability, experiment design, nonlinear parameter estimation, model validation, model improvement, online model adaptation, model portability, modeling of complex systems, numerical methods, software environments, and implementation aspects.

TL;DR: A linear transformation is proposed that allows viewing a complex nonlinear chemical reaction system via decoupled dynamic variables, each one associated with a particular phenomenon such as a single chemical reaction, a specific mass transfer or heat transfer.

TL;DR: In this paper , a number of experimental studies of solid-gas reactors driven by concentrated solar energy are discussed, with a particular focus on solar reactors for calcination of CaCO3 or with that potential application.

TL;DR: The kinetic identification of chemical reaction systems often represents a time-consuming and complex task and this contribution presents an approach that uses rate estimation and feedback linearizati to solve this problem.

TL;DR: An input parameterization for dynamic optimization that allows reducing the number of decision variables compared to traditional direct methods is presented.