Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties. For learning the plant model as well as changing working conditions online, a fuzzy neural network (FNN) is used in parallel with a co...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/85156 http://hdl.handle.net/10220/43648 |
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Institution: | Nanyang Technological University |
Language: | English |