DISCO

• DISCO: Data-driven Design of invariant Sets and COntrollers

I am grateful to the Hasler Foundation for funding my project “DISCO: Data-driven Design of invariant Sets and COntrollers”.

The project aims to develop novel data-driven algorithms to ensure safety in constrained dynamical systems’ operation. The primary objective is to create a data-driven framework for robust control design and invariant set computation. Moreover, the project seeks to pioneer efficient and user-friendly direct data-based algorithms, eliminating the need for cumbersome model identification steps. These methods will be tailored to ensure the safety and stability of nonlinear dynamical systems, thereby facilitating the evaluation of data-based solutions in various real-world safety-critical applications.