This paper presents a traction control (TC) system for electric vehicles with in-wheel motors,
based on explicit nonlinear model predictive control. The feedback law, available …

In this paper, we propose a real-time nonlinear model predictive control (NMPC) strategy for
stabilization of a vehicle near the limit of lateral acceleration using the rear axle electric …

In this paper we propose a constrained optimal control architecture for combined velocity,
yaw and sideslip regulation for stabilisation of the vehicle near the limit of lateral …

Idle speed control is a landmark application of feedback control in automotive vehicles that
continues to be of significant interest to automotive industry practitioners, since improved …

Since 2014, the Formula 1 power unit has consisted of an internal combustion engine
equipped with an electrified turbocharger and a powerful electric motor with regenerative …

Modern hybrid electric vehicles employ electric braking to recuperate energy during
deceleration. However, currently anti-lock braking system (ABS) functionality is delivered …

Nonlinear effects and external disturbances can severely impact the control of an
autonomous race car at the handling limits. State-of-the-art approaches do not take these …

This paper presents a novel speed tracking control approach based on a model predictive
control (MPC) framework for autonomous ground vehicles. A switching algorithm without …

This study applies nonlinear model predictive control (NMPC) to the torque-vectoring (TV)
and front-to-total anti-roll moment distribution control of a four-wheel-drive electric vehicle …

A hybrid model predictive control (HMPC) strategy is proposed in this paper to
autonomously regulate intelligent vehicle longitudinal velocity considering nonlinear tire …