Mattia Mattioni

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About

Mattia Mattioni is a rising figure in nonlinear control theory, whose work bridges the gap between continuous-time physical intuition and the realities of digital implementation. His primary research focuses on **passivity-based control (PBC)** and **port-Hamiltonian systems**, particularly within the challenging domain of **sampled-data and discrete-time dynamics**. His most notable contribution is the development of a rigorous framework for **discrete-time energy-balance passivity-based control**, a landmark 2022 paper that has already garnered 16 citations for providing a systematic method to preserve the stabilizing energy properties of a system even when the controller must operate on discrete measurements. This theoretical foundation has direct applications in robotics; in his subsequent work on sampled-data steering of unicycles, Mattioni proposed a novel time-varying digital feedback controller that leverages his discrete-time port-Hamiltonian representation to achieve stable, energy-efficient navigation. By addressing the fundamental mismatch between continuous-time plant models and discrete-time control laws, Mattioni is helping to make advanced, physics-based control strategies viable for modern digital hardware, marking him as a key contributor to the next generation of autonomous and robotic systems.