Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global
automotive industry to make transportation safer, cleaner and more comfortable. As an …

This paper aims to solve the robust iterative learning control (ILC) problems for nonlinear
time-varying systems in the presence of nonrepetitive uncertainties. A new optimization …

This paper proposes a new approach to the stable design of fuzzy logic control systems that
deal with a general class of chaotic processes. The stable design is carried out on the basis …

In this article, a robust adaptive learning control strategy for uncertain single-input-single-
output systems in strict-feedback form and controllability canonical form (CCF) is studied. For …

In this article, by using the neural-networks (NNs) separation and approximation technique,
an adaptive scheme is presented to deliver the prescribed tracking performance for a class …

This paper presents a new iterative data-driven algorithm (IDDA) for the experiment-based
tuning of controllers for nonlinear systems. The proposed IDDA solves the optimization …

Two new strategies based on uncertainty estimation are proposed for antilock braking
systems (ABSs). In one of the strategies, the uncertainties and the disturbances are …

Advances made in advanced driver assistance systems such as antilock braking systems
(ABS) have significantly improved the safety of road vehicles. ABS enhances the braking …

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 …

EHB (electro-hydraulic brake system) can provide active and decoupled brake for electric
intelligent vehicles. However, modelling and control of automotive electro-hydraulic brake …