A fuzzy-neural control system simulation was developed for the control of a camera platform used to observe aircraft on final approach to an aircraft carrier. The fuzzy-neural approach to control combines the structure of a fuzzy knowledge base with a supervised neural network's ability to adapt and improve. The performance characteristics of this hybrid system were compared to those of a fuzzy system and a neural network system developed independently to determine if the fusion of these two technologies offers any advantage over the use of one or the other. The results of this study indicate that the fuzzy-neural approach to control offers some advantages over either fuzzy or neural control alone.
Fuzzy-neural control of an aircraft tracking camera platform
1994-02-01
Conference paper
No indication
English
Fuzzy-Neural Control of an Aircraft Tracking Camera Platform
British Library Conference Proceedings | 1993
|Fuzzy-Neural Control of an Aircraft Tracking Camera Platform
British Library Conference Proceedings | 1993
|Fuzzy logic control for camera tracking system
NTRS | 1992
|Fuzzy Logic Control for Camera Tracking System
NTIS | 1992
|