Lateral motion control, a core autonomous driving technology, still faces the significant
challenge of accurately tracking the reference path under complex and changeable driving …

Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …

This article develops a model predictive control (MPC) framework to co-optimize switching
sequences and control inputs for switched linear systems subject to persistent dwell-time …

In hybrid model predictive control (MPC), a mixed-integer quadratic program (MIQP) is
solved at each sampling time to compute the optimal control action. Although these …

We develop a real-time feasible mixed-integer programming-based decision-making (MIP-
DM) system for automated driving (AD). Using a linear vehicle model in a road-aligned …

Abstract Mixed integer Model Predictive Control (MPC) problems arise in the operation of
systems where discrete and continuous decisions must be taken simultaneously to …

Mixed-integer model predictive control (MI-MPC) requires the solution of a mixed-integer
quadratic program (MIQP) at each sampling instant under strict timing constraints, where …

In this paper we propose a lightweight neural network architecture that is able to learn the
binary components of the optimal solution of a class of multiparametric mixed-integer …

Mixed‐integer model predictive control (MI‐MPC) can be a powerful tool for controlling
hybrid systems. In case of a linear‐quadratic objective in combination with linear or …

Mixed-integer model predictive control (MPC) al-lows for discrete-valued control decisions,
which are a common feature of industrial processes, to be optimized in combination with the …