A Sparse Neural Network Approach to Model Reference Adaptive Control with Hypersonic Flight Applications
Author:
Affiliation:
1. University of Florida, Gainesville
2. University of California, Irvine
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2018-0842
Reference36 articles.
1. Adaptive Control for a Hypersonic Glider using Parameter Feedback from System Identification
2. An overview on dynamics and controls modelling of hypersonic vehicles
3. A Hypersonic Vehicle Model Developed With Piston Theory
4. An Aerothermal Flexible Mode Analysis of a Hypersonic Vehicle
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