Maria Prandini

TL;DR: A general overview of the proposed new methodology for the design of cautious adaptive controllers is provided, where a probability measure describing the likelihood of different models is updated on-line based on observations and a controller with certain robust control specifications is tuned to the updated probability by means of randomized algorithms.

TL;DR: A new method to evaluate air tra‐c complexity in 3-D airspace through a probabilistic measure of the airspace occupancy is proposed, ensuring that uncertainty in the future aircraft positions is explicitly accounted for when evaluating complexity.

TL;DR: A methodology is developed based on an iterative resource allocation mechanism, realized by means of a negotiation process among users, resembling stock exchange dynamics, which comes close to optimality at a low computational cost, which is affordable in large scale practical applications.

TL;DR: It is shown that the problem of designing energy minimizing collision-free maneuvers for multiple agents moving on a plane is equivalent to that of finding the shortest geodesic in a certain manifold with nonsmooth boundary, and it is proved that the optimal maneuvers are C1 by introducing the concept of u-convex manifolds.

TL;DR: This paper deals with the problem of reserve scheduling for power systems with wind power generation, and proposes a new set-up that incorporates an AC Optimal Power Flow (AC OPF) formulation that has certain advantages when combined with the reserve scheduling formulation.