R.-G. Wang, Z.-D. Liu and Z.-Q. Qi, “Multiple Model Adaptive Control of Antilock Brake System via Backstepping Approach,” Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, 2005, pp. 591-595.

has been cited by the following article:

• TITLE: An Antilock-Braking Systems (ABS) Control: A Technical Review

  AUTHORS: Ayman A. Aly, El-Shafei Zeidan, Ahmed Hamed, Farhan Salem

  KEYWORDS: ABS, Intelligent Control, Fuzzy Control

  JOURNAL NAME: Intelligent Control and Automation, Vol.2 No.3, August 8, 2011

  ABSTRACT: Many different control methods for ABS systems have been developed. These methods differ in their theoretical basis and performance under the changes of road conditions. The present review is a part of research project entitled “Intelligent Antilock Brake System Design for Road-Surfaces of Saudi Arabia” In the present paper we review the methods used in the design of ABS systems. We highlight the main difficulties and summarize the more recent developments in their control techniques. Intelligent control systems like fuzzy control can be used in ABS control to emulate the qualitative aspects of human knowledge with several advantages such as robustness, universal approximation theorem and rule-based algorithms.