This paper investigates a new traction control approach that requires neither chassis velocity
nor information about tire–road conditions. Plant fault subject to the uncertainties of the …

In this paper, we present a methodology based on multiple models and switching for real-
time estimation of centre of gravity (CG) position in automotive vehicles. The method utilises …

Accurate road slope information is of paramount importance for optimizing vehicle control
and enhancing energy efficiency. In the context of heavy-duty vehicles (HDVs), the precise …

The vast majority of available parameter estimation methods assume that the parameters to
be estimated are constant or slowly time‐varying and mainly depend on a predictor or …

Although driving conditions of vehicles are complex, a single model is used in conventional
slope estimation methods. This reduces the ability to track changes in actual road slopes in …

Tire normal forces play a crucial role in vehicle dynamic control systems (VDCs), and an
accurate estimation of them could substantially improve vehicle handling and safety. Total …

This book does not contain an elementary mathematics of fuzzy systems such as fuzzy sets,
operations on fuzzy sets, Boolean logic, triangular norms (tnorms), t-conorms, implications …

Magnetorheological (MR) dampers enable wide-range adjustment of damping and are
considered as promising actuators for suspension performance optimization. However, MR …

In this paper, a special recurrent neural network (RNN) called Long Short-Term Memory
(LSTM) is used to design a virtual load sensor that estimates the mass of heavy vehicles …

The gross vehicle mass (GVM) and the road grade are two factors that both have a
substantial influence on the performance of a vehicle's powertrain. In this paper, we propose …