A new adaptive deep neural network controller based on sparse auto‐encoder for the antilock bracking system systems subject to high constraints-Reference-Cited by-同舟云学术

A new adaptive deep neural network controller based on sparse auto‐encoder for the antilock bracking system systems subject to high constraints

Published:2021-07-02 Issue:5 Volume:23 Page:2145-2156
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Ait Abbas Hamou¹^ORCID

Affiliation:

1. Laboratory of Materials and Durable Development‐LM2D Department of Electrical Engineering, Akli Mohand Oulhadj University‐Bouira Drissi Yahia Street Bouira 10000 Algeria

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2629

Reference16 articles.

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2. K. S.ParkandJ. T.Lim Wheel slip control for ABS with time delay input using feedback linearization and adaptive sliding mode control Proc. of the Int. Conf. on Control Automation and Systems (ICCAS) Seoul Korea 2008 pp.290–295.https://doi.org/10.1109/ICCAS.2008.4694658 2008.

3. Y. E.Mao G.Stojanovski Y.Jing M. J.Stankovski andG. M.Dimirovski Sliding mode controller employing RBF‐ANN for vehicle anti‐lock braking system 14th Int. in Power Electronics and Motion Control Conf. (EPE/PEMC) Ohrid Macedonia https://doi.org/10.1109/EPEPEMC.2010.5606626 2010 pp.T10–55‐T10‐60.

4. Nonlinear control design of anti-lock braking systems with assistance of active suspension

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