This paper explores an application of support vector regression for adaptive control of an unmanned aerial vehicle (UAV). Unlike neural networks, support vector regression (SVR) generates global solutions, because SVR basically solves quadratic programming (QP) problems. With this advantage, the inp
Fuzzy Adaptive Control for a UAV
โ Scribed by Jose F. Gomez; Mo Jamshidi
- Publisher
- Springer Netherlands
- Year
- 2010
- Tongue
- English
- Weight
- 956 KB
- Volume
- 62
- Category
- Article
- ISSN
- 0921-0296
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