Title :
Application of Adaline to the Synthesis of Adaptive Controllers for Dynamical Systems
Author :
John G. Kuschewski;Reinhold Engelbrecht;Stefen Hui;Stanislaw H. Zak
Author_Institution :
School of Electrical Engineering, Purdue University, West Lafayette, IN 47907
fDate :
6/1/1991 12:00:00 AM
Abstract :
The purpose of this paper is to report on neural network based adaptive controllers and their applications. Specifically, the proposed adaptive controller is applied to the benchmark problem recently proposed by Wie and Bernstein [1]. First, the continuous state space model of the benchmark problem is stabilized. The overall system is then discretized and the proposed adaptive controller is applied. We then analyze the effect of changing the parameters of the update algorithm on the performance of the closed-loop system. Computer simulations are presented to illustrate the discussion.
Keywords :
"Control system synthesis","Programmable control","Adaptive control","Network synthesis","Neural networks","Adaptive systems","State-space methods","Control systems","Performance analysis","Algorithm design and analysis"
Conference_Titel :
American Control Conference, 1991
Print_ISBN :
0-87942-565-2