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On the design of a neural network autolander

✍ Scribed by C. Cox; S. Stepniewski; C. Jorgensen; R. Saeks; C. Lewis


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
260 KB
Volume
9
Category
Article
ISSN
1049-8923

No coin nor oath required. For personal study only.

✦ Synopsis


A research program directed at the development of an autolander for NASA's X-33 prototype reusable launch vehicle is described. The autolander is based on a new linear quadratic adaptive critic algorithm. It is implemented by an array of Functional Link neural networks and is trained by a modi"ed Levenberg}Marquardt method. A full stability theory is developed for the new adaptive critic algorithm. Simulation results are presented for the linear}quadratic case.


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