Control precision and robustness can be regarded as essential challenges of slip ratio
control because of the external uncertainties of road conditions and the internal delay …

To simultaneously track the ideal slip rate and realize ideal energy recovery efficiency under
different complex road conditions, an electro-hydraulic compound anti-lock braking system …

Nowadays, the antilock braking system (ABS) is the standard in all modern cars. The
function of ABS is to optimize the maximize wheel traction by preventing wheel lockup …

This paper aims to design a self-evolving function-link type-2 fuzzy neural network for
application in controlling antilock braking systems. In this control scheme, the self-evolving …

The forces of drag, tire and road surface friction resistance, the drive motor characteristics,
the hill climbing angle, and other non-linear dynamic factors affect the performance of …

Traditional friction braking torque and motor braking torque can be used in braking for
electric vehicles (EVs). A sliding mode controller (SMC) based on the exponential reaching …

The objective of the Anti-lock Braking System (ABS) is to control the wheel slip to maximize
the friction coefficient between the wheel and the road, irrespective of the road surface and …

Abstract Antilock Braking System (ABS) is a braking system to avoid the wheel of the vehicle
unlocked. This is happened caused by the friction coefficient between tire and road surface …

The purpose of the antilock braking system (ABS) is to regulate the wheel longitudinal slip at
its optimum point in order to generate the maximum braking force; however, the vehicle …

In this paper, performances of two model-free control systems including Fuzzy Logic Control
(FLC) and Neural Predictive Control (NPC) on tracking performance of wheel-slip in Anti …