@inproceedings{701c44c081f449ed97e2c143d0d5938a,
title = "Multiple model adaptive control of antilock brake system via backstepping approach",
abstract = "Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.",
keywords = "Antilock Brake System, Backstepping Approach, Multiple Model Adaptive Control",
author = "Wang, {Ren Guang} and Liu, {Zhao Du} and Qi, {Zhi Quan} and Ma, {Yue Feng} and Cui, {Hai Feng}",
year = "2005",
language = "English",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
pages = "591--595",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}