We survey the main numerical techniques for finite-dimensional nonlinear optimal control.
The chapter is written as a guide to practitioners who wish to get rapidly acquainted with the …

In this work, we study optimistic planning methods to solve some state-constrained optimal
control problems in finite horizon. While classical methods for calculating the value function …

In this work we present a new approach for the characterization of Pareto fronts for
multiobjective optimal control problems. Our approach is based on the Hamilton--Jacobi …

We consider a deterministic optimal control problem, focusing on a finite horizon scenario.
Our proposal involves employing deep neural network approximations to capture Bellman's …

Specifications considered in symbolic control are often interpreted qualitatively and
controllers are usually classified as correct if they enforce the specification or as incorrect if …

We study the Hamilton-Jacobi (HJ) approach for a two-person zero-sum differential game
with state constraints and where controls of the two players are coupled within the dynamics …

We study deterministic optimal control problems for differential games with finite horizon. We
propose new approximations of the strategies in feedback form and show error estimates …

We study deterministic optimal control problems for differential games with finite horizon. We
propose new approximations of the strategies in feedback form, and show error estimates …

This article is devoted to the study of a controlled population of cells. The modeling of the
problem leads to a mathematical formulation of stability and reachability properties of some …

We investigate a model for a vector-borne disease of susceptible-infected-removed type for
the hosts in the presence of control measures and state constraints. The control is based on …