Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

Agriculture plays a decisive role in the survival of humankind. The efficient and precise
regulation of agriculture will ensure the welfare of people throughout the world. However …

Many practical applications lead to optimization problems that can either be stated as
quadratic programming (QP) problems or require the solution of QP problems on a lower …

Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …

We present a new optimization-based approach for robotic motion planning among
obstacles. Like CHOMP (Covariant Hamiltonian Optimization for Motion Planning), our …

This paper presents the acados software package, a collection of solvers for fast embedded
optimization intended for fast embedded applications. Its interfaces to higher-level …

Linear model predictive control (MPC) can be currently deployed at outstanding speeds,
thanks to recent progress in algorithms for solving online the underlying structured quadratic …

This dissertation explores the building blocks needed to efficiently formulate and solve
optimal control problems. The premise of the thesis is that existing general-purpose solvers …

With the advent of 5G technology, the notion of latency got a prominent role in wireless
connectivity, serving as a proxy term for addressing the requirements for real-time …

Vehicular platoon control can effectively achieve group consensus, improve vehicular
running safety and increase road capacity. However, some constraints exist in practical …