DocumentCode
2407071
Title
On a learning algorithm of feedback control for an aircraft in windshear: a case study
Author
Rodin, Ervin Y. ; Wu, Yuanlan
Author_Institution
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
fYear
1992
fDate
1992
Firstpage
3470
Abstract
An algorithm for learning feedback control is presented. Based on the gradient method, a set of formulas for online updating of the weights of a neural controller is given. To demonstrate the algorithm, the proposed controller is used in a practical problem for an aircraft encountering windshear during take-off. The proposed controller is shown to be feasible for many nonlinear systems, and seems to be robust in the presence of windshear
Keywords
aircraft control; controllers; feedback; learning (artificial intelligence); neural nets; nonlinear systems; aircraft; feedback control; gradient method; learning algorithm; neural controller; nonlinear systems; online updating; windshear; Aerospace control; Aircraft; Control systems; Cost function; Feedback control; Gradient methods; Neural networks; Nonlinear control systems; Nonlinear systems; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371207
Filename
371207
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