Title :
The problem of generic nonlinear control
Author_Institution :
Dept. of Mech. Eng., Glasgow Univ., UK
Abstract :
This paper describes the problem of generic nonlinear control and discusses its solutions in the context of artificial neural networks. The issue of the representation of nonlinear dynamics in a generic, parametric form is addressed. The notion of differential approximation is introduced and identified as the key problem in this context.
Keywords :
"Artificial neural networks","Control systems","Control theory","Terminology","Ear","Equations","Mechanical engineering","Kalman filters","Nonlinear systems","Neural networks"
Conference_Titel :
Systems, Man and Cybernetics, 1993. ´Systems Engineering in the Service of Humans´, Conference Proceedings., International Conference on
Print_ISBN :
0-7803-0911-1
DOI :
10.1109/ICSMC.1993.390686
