Typical active safety systems that control the dynamics of passenger cars rely on the real-
time monitoring of the vehicle sideslip angle (VSA), together with other signals such as the …

This article presents a novel adaptive-event-trigger-based fuzzy nonlinear lateral dynamic
control algorithm for autonomous electric vehicles under insecure communication networks …

Both steering angle and sideslip angle are important states for vehicle handling and stability
control. Instead of directly measuring these angles, indirect estimation of these states will …

In this article, we address the simultaneous estimation problem of the lateral speed, the
steering input, and the effective engine torque, which play a fundamental role in vehicle …

Vehicle side-slip angle is crucial for various vehicle active safety applications, but measuring
it directly needs expensive measurement instruments and the vehicle nonlinear dynamics …

This paper presents an Artificial Neural Network based algorithm to estimate the sideslip
angle of a vehicle in different road conditions. The method is based on two parallel tasks:(a) …

This article investigates a new observer design method to estimate simultaneously both the
vehicle dynamics and the unknown driver's torque. To take into account the time-varying …

This paper proposes a velocity-based robust fault tolerant automatic steering control
approach for autonomous ground vehicles via an adaptive event triggered network …

This study investigates an integrated wheel slip, yaw rate, and sideslip angle control via
torque vectoring to improve both the longitudinal and lateral stability of electric vehicles …

In this work, a reliable and effective method to predict the vehicle side-slip angle is given by
means of an artificial neural network. It is well known that artificial neural networks are a very …