Depth control of an underwater remotely operated vehicle using neural network predictive control

This paper investigates the depth control of an unmanned underwater remotely operated vehicle (ROV) using neural network predictive control (NNPC). The NNPC is applied to control the depth of the ROV to improve the performances of system response in terms of overshoot. To assess the viability of the...

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Bibliographic Details
Main Authors: Mohd. Aras, Mohd. Shahrieel (Author), Abdullah, Shahrum Shah (Author), Abdul Rahman, Ahmad Fadzli Nizam (Author), Hasim, Norhaslinda (Author), Abdul Azis, Fadilah (Author), Lim, Wee Teck (Author), Mohd. Nor, Arfah Syahida (Author)
Format: Article
Language:English
Published: Penerbit UTM Press, 2015.
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