This project will design a methodology for generating virtual and experimental test scenarios for the control algorithms of mechatronic machines and vehicles. These test scenarios will help to develop a controller that achieves the required performance under all conditions.

The concrete project goals are:

• Developing a methodology and supporting software tools for the generation of all possible scenarios in which a control algorithm must be tested.
• Developing a methodology and tools that will generate a set of test scenarios that, if possible, prevent a controller from meeting its performance requirements, considering model uncertainty.
• Developing a methodology and tools that will generate a set of experimental tests that allow to minimize the model uncertainty of the models used for the virtual tests