Fuzzy Wavelet Neural Control of Underwater Manipulator

Fuzzy Wavelet Neural Control of Underwater Manipulator

Fuzzy neural networks show good ability of self-adaption and self-learning, wavelet transformation or analysis shows the time frequency location characteristic and multi-scale ability. The controller based on fuzzy wavelet neural network is proposed in this paper. The presented approach has been use...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: He Jin, Meng Qingxing, Zhao Jie, Wang Hua
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Control systems
Educational institutions
Electronic mail
Fuzzy control
Fuzzy Neural Network
Fuzzy neural networks
Helium
Interfacing Apparatus
Manipulator
Manipulators
Service robots
Time frequency analysis
Wavelet analysis
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Fuzzy neural networks show good ability of self-adaption and self-learning, wavelet transformation or analysis shows the time frequency location characteristic and multi-scale ability. The controller based on fuzzy wavelet neural network is proposed in this paper. The presented approach has been used control for manipulator of underwater interfacing apparatus. And at last the computer simulation results show that control performance is improved significantly.
ISSN:1934-1768
2161-2927
DOI:10.1109/CHICC.2006.280881