A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Markov-Dubins Problem: an Optimal Control Approach. Optimal solutions are found by means of Pontryagin Maximum principle; the rest of the work is focused on the characterization of singular and nonsingular solutions. Simulations conclude the report.

Bellman Equation, Pontryagin Maximum Principle, and Deep Learning to solve stochastic control problems

Implementation of Pontryagin's Minimum Principle for microgrid energy storage control

Software for the book 'The Sequential Quadratic Hamiltonian Method' - CRC Press / Chapman & Hall (2023)

Repository for the code of the "Dynamic Programming and Optimal Control" (DPOC) lecture at the "Institute for Dynamic Systems and Control" at ETH Zurich.

Finds a curve of minimum length from (0;1) to (1;0) with integral of x*y under the curve equal to 0

Various methods of numerical integration and problems of Mathematical Optimisation written in C-fashioned C++ and exhibited in model toy projects

This code is written in Julia and provides a direct and indirect method for solving a water filtration problem with constraints for the control (Non linear problem) using an optimal control approach and more precisely the Pontryagin principle (PMP).