Model Based Control is an important and widely used (mainly MPC) technique. This paper provides a new control architecture based on the use of physical models. In this preliminary work the architecture is applied for unconstrained multivariable control. It has been applied on several standard process units obtaining encouraging results. It has some advantages over MPC as it can use non linear r...

In this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try and overcome these issues: (1) causality definitions should be driven by a set of precisely specified requirements rather than specific examples; (2) causality frameworks should support system dynamics; (3) causality ...

Among the various theoretical tools for investigating microscopic material properties, ab initio (first principles) methods based on density functional theory and pseudopotentials have had a very good track record over the last two decades in terms of accuracy, reliability, and efficiency. The application of these methods to nanostructures to investigate their structural, electronic, and optica...