Chance–constrained optimization has been studied in the context of autonomous vehicles.
The work in [4] addresses the tactical planning problem for autonomous vehicles in …

This paper proposes to apply a robust distributed model predictive platooning control
approach for a group of heterogeneous autonomous surface vehicles (ASVs) with the input …

In model predictive control, knowledge about the future trajectories of the set points or
disturbances is used to optimize the overall system performance, Camacho and Bordons …

This paper presents a nonlinear model predictive control (MPC) formulation for obstacle
avoidance in high-speed, large-size autono-mous ground vehicles (AGVs) with high centre …

This article is devoted to tackling the robust collision avoidance formation navigation
problem for a class of multiple unmanned surface vehicles (multi-USVs), where the USVs …

We propose a fully distributed control system architecture, amenable to in-vehicle
implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at …

A model predictive control (MPC) approach for controlling an active front steering (AFS)
system in an autonomous vehicle is presented. At each time step a trajectory is assumed to …

The control of autonomous vehicles is a challenging task that requires advanced control
schemes. Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation …

In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …

A Model Predictive Control (MPC) approach for controlling active front steering, active
braking and active differentials in an autonomous vehicle is presented. We formulate a …