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Journal paper
Neural Network Based Sliding Mode Control of Electronic Throttle
Engineering Applications of Artificial Intelligence, Vol.18, pp.951 -- 961, 2005
ABSTRACT:
In this paper a neural network based sliding mode controller for electronic throttle is proposed. Electronic throttle is considered as an uncertain linear system. The uncertainties, which consist of an unknown friction and spring torque are estimated by the neural network whose parameters are adapted in an on-line fashion. Control and adaptive laws guarantee the boundedness of all signals in the system. Presented experimental results demonstrate the efficiency and robustness of the proposed control scheme.
BibTeX entry:
@article \{Baric2005_257,
author = \{Bari\'{c}, M. AND Petrovi\'{c}, I. AND Peri\'{c}, N.},
title = \{Neural Network Based Sliding Mode Control of Electronic Throttle},
journal = {Engineering Applications of Artificial Intelligence},
volume = \{18},
pages = \{951 -- 961},
year = \{2005}
}
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