On the design of a neural network autolander

被引：0
作者：
Cox, C
Stepniewski, S
Jorgensen, C
Saeks, R
Lewis, C
机构：
[1] Accurate Automat Corp, Chattanooga, TN 37421 USA
[2] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 1999年 / 9卷 / 14期
关键词：
adaptive critic; neural network; flight control;
D O I：
10.1002/(SICI)1099-1239(19991215)9:14<1071::AID-RNC453>3.0.CO;2-W
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 modified Levenberg-Marquardt method. A full stability theory is developed for the new adaptive critic algorithm. Simulation results are presented for the linear-quadratic case. (C) 1999 John Wiley & Sons, Ltd.
引用
收藏
页码：1071 / 1096
页数：26
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