Validation of data science based methods for modelling and control

This report addresses the aspects of linear parametrized model approximation of dynamical systems in view of control design The modelfree or databased approaches and their application to the flight data specific objectives will be described within the deliverable In this work we are adopting bigdata techniques to analyze the vast data provided by the complex sensing and control system These methodologies are useful in mapping and revealing the underlying structure of the problem Data science technologies for optimal usage of these data are developed in FliPASED and recommendations for methods and useful sensor arrangements for future aerospace applications are described