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Original Articles

Lyapunov-based switching control using neural networks for a remotely operated vehicle

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Pages 1077-1091 | Received 30 Apr 2006, Accepted 16 Jan 2007, Published online: 22 Dec 2008
 

Abstract

This paper considers the tracking control problem of an underwater vehicle subjected to different load configurations, which from time to time introduce considerable variations of its mass and inertial parameters. The control of this kind of mode-switch process cannot be adequately faced with traditional adaptive control techniques because of the too long time needed for adaptation. To cope with this problem, a switching control scheme is proposed and the stability of this multi-controller system is analysed using the Lyapunov theory. The performance of the switched controller is evaluated by numerical simulations.

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