This paper proposes the design and implementation of a model-free tire slip control for a fast
and highly nonlinear Anti-lock Braking System (ABS). A reinforcement Q-learning optimal …

This paper proposes a new adaptive sliding mode control approach via output feedback for
a class of nonlinear systems. The sliding‐mode based controller can deal with parametric …

Linked open data (LOD), as provided by a quickly growing number of sources constitutes a
wealth of easily accessible information. However, this data is not easy to understand. It is …

In this paper, a multiple surface sliding controller is designed for an anti-lock braking system
to maintain the slip ratio at a desired level. Various types of uncertainties coming from …

We contribute in the current paper to extend the universal function approximation property of
deep learning hybrid strategy to design both:(a) adaptive deep neural network observer to …

The control of anti-lock braking system is a great challenge, because of the nonlinear and
complex characteristics of braking dynamics, unknown parameters of vehicle environment …

In this paper, an adaptive controller called Grey-Verhulst Sliding Mode Controller (GVSMC)
is proposed for the laboratory Antilock Braking System (ABS). The developed Grey-Verhulst …

A model-free tire slip control solution for a fast, highly nonlinear Anti-lock Braking System
(ABS) is proposed in this work via a reinforcement Q-learning optimal control approach. The …

Reliability of safety critical systems such as nuclear power plants and automobiles has
become a significant issue to our society. As more computing systems are utilized in these …

A combination of two control methods, sliding mode and fuzzy, for the wheel slip control in
anti-lock braking system, is presented in this paper. The fuzzy block is used to determine the …