Paper Title:
Fuzzy Neural Network Hybrid Learning Control on AUV
| Periodical | Advanced Materials Research (Volumes 468 - 471) |
|---|---|
| Main Theme | Automation Equipment and Systems |
| Edited by | Wenzhe Chen, Pinqiang Dai, Yonglu Chen, Dingning Chen and Zhengyi Jiang |
| Pages | 1732-1735 |
| DOI | 10.4028/www.scientific.net/AMR.468-471.1732 |
| Citation | Jing Zhao et al., 2012, Advanced Materials Research, 468-471, 1732 |
| Online since | February, 2012 |
| Authors | Jing Zhao, Zhao Lin Han, Yuan Yuan Fang |
| Keywords | Autonomous Underwater Vehicle (AUV), B-Spline Function, Fuzzy Neural Network, Immune Genetic Algorithm |
| Price | US$ 28,- |
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Abstract
A novel controller based on the fuzzy B-spline neural network is presented, which combines the advantages of qualitative defining capability of fuzzy logic, quantitative learning ability of neural networks and excellent local controlling ability of B-spline basis functions, which are being used as fuzzy functions. A hybrid learning algorithm of the controller is proposed as well. The results show that it is feasible to design the fuzzy neural network control of autonomous underwater vehicle by the hybrid learning algorithm.
