@inproceedings{999620cefb81469cb5ea78f4d736383d,
title = "Robust Sliding Mode-Like Fuzzy Logic Control for Anti-Lock Braking Systems with Uncertainties and Disturbances",
abstract = "In this paper, we propose a robust sliding mode-like fuzzy logic controller for an anti-lock brake system (ABS) with self-tuning of the dead-zone parameters. The main control strategy is to force the wheel slip ratio tracking the optimum value 0.2. The proposed controller for anti-lock braking systems provides a stable and reliable performance under the uncertainties in vehicle brake systems. Simulation results will show the validity and effectiveness of the proposed sliding mode-like fuzzy logic controller.",
keywords = "Anti-lock brake systems, Dead-zone parameters, Self-tuning, Sliding mode-like fuzzy logic control, Wheel slip ratio",
author = "Wang, \{Wei Yen\} and Hsu, \{Kou Cheng\} and Lee, \{Tsu Tian\} and Chen, \{Guan Ming\}",
year = "2003",
language = "English",
isbn = "0780378652",
series = "International Conference on Machine Learning and Cybernetics",
pages = "633--638",
booktitle = "International Conference on Machine Learning and Cybernetics",
note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",
}