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
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;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371207
