Title :
The benefits of implicit modelling for predictive control
Author :
Rossiter, J.A. ; Kouvaritakis, B. ; Huatuco, L. Huaccho
Author_Institution :
Dept. of Math. Sci., Loughborough Univ. of Technol., UK
Abstract :
Traditionally, predictive control is understood to rely on accurate predictions in order to give good control. Here it is shown that in fact one can bypass the prediction model altogether and go straight to an implicit model which represents the parameters of the objective function to be minimised. This is demonstrated to have significant advantages
Keywords :
MIMO systems; identification; polynomial matrices; predictive control; SISO systems; implicit modelling; model predictive control; objective function; Adaptive control; Control design; Equations; Filters; Frequency estimation; MIMO; Neural networks; Predictive control; Predictive models; Recursive estimation;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912755
