This paper presents an application of adaptive neural network to control of autonomous underwater vehicle. Adaptive neural networks by adaptive interaction are designed for controlling heading, depth and speed of the vehicle. Computer simulations are carried out to verify the control system. Good results are obtained under the influence of measurement noise and current.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Control of autonomous underwater vehicles using adaptive neural network


    Contributors:


    Publication date :

    2009


    Size :

    4 Seiten, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Neural net based nonlinear adaptive control for autonomous underwater vehicles

    Li, Ji-Hong / Lee, Pan-Mook / Lee, Sang-Jeong | Tema Archive | 2002



    Online adaptive and neural network control of underwater vehicles

    Kim, Myung-Hyun / Inman, Daniel J. | SPIE | 1999


    UNDERWATER COMMUNICATION NETWORK FOR AUTONOMOUS UNDERWATER VEHICLES

    BELANI ASHOK K / JARROT ARNAUD / CROUX ARNAUD et al. | European Patent Office | 2024

    Free access

    UNDERWATER COMMUNICATION NETWORK FOR AUTONOMOUS UNDERWATER VEHICLES

    BELANI ASHOK K / JARROT ARNAUD / CROUX ARNAUD et al. | European Patent Office | 2025

    Free access