Results of a study on the application of neural networks to the control system of underwater robotic vehicles (URVs) are presented. The robustness of the control system with respect to nonlinear dynamic behavior and parameter uncertainties is investigated by computer simulation. The results show the feasibility of using unpredictable changes in the dynamics of the vehicle and its environment.
A neural net controller for underwater robotic vehicles
Eine Neural-Netz-Steuerung für Unterwasser-Roboter
IEEE Journal of Oceanic Engineering ; 15 , 3 ; 161-166
1990
6 Seiten, 19 Quellen
Aufsatz (Zeitschrift)
Englisch
Learning Control for Underwater Robotic Vehicles
British Library Online Contents | 1994
|Modeling and control of underwater robotic vehicles
Tema Archiv | 1990
|Overview of an intelligent system for underwater robotic vehicles
Tema Archiv | 1989
|