Title :
Mechanical system tracking using neural networks
Author :
León, Jes&x00F1s De ; Sánchez, Edgar N. ; Chataigner, Adelie
Author_Institution :
Univ. Autonoma de Nuevo Leon, San Nicolas de los Garza, Mexico
fDate :
29 June-1 July 1994
Abstract :
In this paper we analyze a control law, which forces an artificial output of a nonlinear system to behave like a linear one, allowing signal tracking as an effect of this tracking, the system state converges to any selected equilibrium point. We introduce the structured neural networks to estimate online a matrix required to calculate this control law. The applicability of the approach is illustrated by simulations results.
Keywords :
matrix algebra; neural nets; nonlinear systems; signal detection; tracking; equilibrium point; matrix algebra; mechanical system tracking; nonlinear system; signal tracking; structured neural networks; system state; Control system analysis; Control system synthesis; Control systems; Force control; Mathematical model; Mechanical systems; Neural networks; Nonlinear control systems; Nonlinear systems; Signal analysis;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.735020
