This paper deals with the longitudinal and lateral control of an automotive vehicle within the
framework of fully automated guidance. The automotive vehicle is a complex system …

Vehicle active safety receives ever increasing attention in the attempt to achieve zero
accidents on the road. In this paper, we investigate a control architecture that has the …

Model Predictive Control (MPC) is an established control technique in chemical process
control, due to its capability of optimally controlling multivariable systems with constraints on …

Traditionally, rendezvous and proximity maneuvers have been performed using open‐loop
maneuver planning techniques and ad hoc error corrections. In this paper, a Model …

This paper investigates the coordination of active front steering and rear braking in a driver-
assist system for vehicle yaw control. The proposed control system aims at stabilizing the …

This paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …

Energy management strategies in hybrid electric vehicles determine how much energy is
produced/stored/used in each powertrain component. We propose an approach for energy …

The concept of utilizing vehicle-to-everything (V2X) connectivity to improve the resilience of
automated vehicles in an environment where optical sensors may not provide reliable data …

This article addresses the problem of robust output feedback model predictive control for
discrete-time, constrained, linear parameter-varying systems subject to (bounded) state and …

In this paper, a linear time-varying model-based predictive controller (LTV-MPC) for lateral
vehicle guidance by front steering is proposed. Due to the fact that this controller is designed …