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Neural Aircraft Control

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Abstract

Longitudinal control is the control of an aircraft that needs to work at the altitude and speed changes. In this chapter, we will implement a neural net to produce the critical parameters for a nonlinear aircraft control system. This is an example of online learning and applies techniques from multiple previous chapters.

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References

  1. A. E. Bryson Jr. Control of Spacecraft and Aircraft. Princeton, 1994.

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  2. Byoung S. Kim and Anthony J. Calise. Nonlinear Flight Control Using Neural Networks. Journal of Guidance, Control, and Dynamics, 20(1):26–33, 1997.

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  3. J. B. Mueller. Design and Analysis of Optimal Ascent Trajectories for Stratospheric Airships. PhD thesis, University of Minnesota, 2013.

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  5. Peggy S. Williams-Hayes. Flight Test Implementation of a Second Generation Intelligent Flight Control System. Technical Report NASA/TM-2005-213669, NASA Dryden Flight Research Center, November 2005.

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© 2019 Michael Paluszek and Stephanie Thomas

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Paluszek, M., Thomas, S. (2019). Neural Aircraft Control. In: MATLAB Machine Learning Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3916-2_11

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