Title :
A nonlinear controller based on self-organizing maps
Author :
Sbarbaro, D. ; Bassi, Danilo
Author_Institution :
Dept. de Ingegneria Electr., Univ. de Concepcion, Chile
Abstract :
Addresses the problem of controlling an uncertain nonlinear process. The algorithm, proposed in this paper, makes use of a self-organizing map to update and organize local Laguerre models, which predicts the behavior of the system. The design of the controller is based on these local models, avoiding in this way complex calculations. The control of a chemical reactor illustrates the application of the proposed approach
Keywords :
chemical technology; nonlinear control systems; predictive control; self-organising feature maps; uncertain systems; chemical reactor; local Laguerre models; nonlinear controller; self-organizing maps; uncertain nonlinear process; Chemical reactors; Cost function; Electrical equipment industry; Heart; Industrial control; Predictive control; Predictive models; Process control; Self organizing feature maps; State-space methods;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538032
