Title :
On-Line Identification, Model Structure Reduction, and Control Using NARX Models
Author :
Pröll, Thomas ; Karim, M.Nazmul
Author_Institution :
Department of Agricultural and Chemical Engineering, Colorado State University, Fort Collins, Colorado 80523
Abstract :
The Modified Gram-Schmidt orthogonalization algorithm for NARX (Non-linear AutoRegressive with eXogenous input) models is used for the on-line identification and model structure reduction of multi-input multi-output (MIMO) non-linear systems. In addition a novel non-linear adaptive controller, based on the identified model structure is proposed and verified by simulation experiments on a highly non-linear bioreactor model.
Keywords :
Adaptive control; Bioreactors; Chemical engineering; Linear regression; MIMO; Nonlinear dynamical systems; Nonlinear equations; Numerical models; Programmable control; Vectors;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9
