Title: Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
Authors: Kayacan, Erdal ×
Oniz, Yesim
Kaynak, Okyay
Topalov, Andon V #
Issue Date: 2008
Publisher: Ieee computer soc
Host Document: Seventh international conference on machine learning and applications, proceedings pages:356-361
Conference: 7th International Conference on Machine Learning and Applications San Diego, CA, DEC 11-13, 2008
Abstract: In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capability, offers an alternative approach to conventional control methods. A multilayer neural network and a grey predictor, GM(1, 1) model, are combined in the approach proposed in the paper The grey neural network controller is examined under several different operating conditions and it is shown that the proposed control algorithm anticipates the upcoming values of wheel slip and optimal wheel slip, and takes the necessary action to keep the wheel slip at the desired value. The simulation results indicate that the proposed controller has the ability to control the nonlinear system accurately with little oscillations and with no steady-state error.
ISBN: 978-0-7695-3495-4
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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