Neuro-adaptive control method for antilock braking systems

Ran ZHANG; Liguo WENG; Wenchuan CAI; Y. D. SONG

doi:10.1109/WCICA.2008.4593379

Neuro-adaptive control method for antilock braking systems

Ran ZHANG^*
, Liguo WENG
, Wenchuan CAI
, Y. D. SONG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation. © 2008 IEEE.

Original language	English
Title of host publication	Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Publisher	IEEE
Pages	2859-2863
Number of pages	5
ISBN (Print)	9781424421138
DOIs	https://doi.org/10.1109/WCICA.2008.4593379
Publication status	Published - 25 Sept 2008
Externally published	Yes
Event	2008 7th World Congress on Intelligent Control and Automation - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008

Congress

Congress	2008 7th World Congress on Intelligent Control and Automation
Country/Territory	China
City	Chongqing
Period	25/06/08 → 27/06/08

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10.1109/WCICA.2008.4593379

Cite this

@inproceedings{3ff4d7ebd3424e38af5698a82a2d17dc,

title = "Neuro-adaptive control method for antilock braking systems",

abstract = "The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation. {\textcopyright} 2008 IEEE.",

author = "Ran ZHANG and Liguo WENG and Wenchuan CAI and SONG, \{Y. D.\}",

year = "2008",

month = sep,

day = "25",

doi = "10.1109/WCICA.2008.4593379",

language = "English",

isbn = "9781424421138",

pages = "2859--2863",

booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",

publisher = "IEEE",

note = "2008 7th World Congress on Intelligent Control and Automation ; Conference date: 25-06-2008 Through 27-06-2008",

}

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T1 - Neuro-adaptive control method for antilock braking systems

AU - ZHANG, Ran

AU - WENG, Liguo

AU - CAI, Wenchuan

AU - SONG, Y. D.

PY - 2008/9/25

Y1 - 2008/9/25

N2 - The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation. © 2008 IEEE.

AB - The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation. © 2008 IEEE.

UR - https://www.scopus.com/pages/publications/52149087948

U2 - 10.1109/WCICA.2008.4593379

DO - 10.1109/WCICA.2008.4593379

M3 - Conference paper (refereed)

AN - SCOPUS:52149087948

SN - 9781424421138

SP - 2859

EP - 2863

BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08

PB - IEEE

T2 - 2008 7th World Congress on Intelligent Control and Automation

Y2 - 25 June 2008 through 27 June 2008

ER -

Neuro-adaptive control method for antilock braking systems

Abstract

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