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

被引：16

作者：

Cavalletti, M. ^{[1
]}

Ippoliti, G. ^{[1
]}

Longhi, S. ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Ingn Informat Gestionale & Automaz, I-60131 Ancona, Italy

来源：

INTERNATIONAL JOURNAL OF CONTROL | 2007年 / 80卷 / 07期

关键词：

D O I：

10.1080/00207170701222939

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1077 / 1091

页数：15

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