DocumentCode :
540041
Title :
Neural generalized predictive self-tuning controllers
Author :
Quero, J.M. ; Camacho, E.F.
fYear :
1990
fDate :
9-11 Aug. 1990
Firstpage :
160
Lastpage :
163
Abstract :
A way in which Hopfield (see J.J. Hopfield, Proc. Nat. Acad. Sci. USA, vol.81, p.3088-92, (1984)) networks can be used to implement generalized predictive controllers is presented. A CARMA model of the process to be controlled, which is valid for most processes in industry, is used to illustrate the method. A set of recursive formulas to obtain the network parameters is given
Keywords :
adaptive control; controllers; neural nets; predictive control; self-adjusting systems; statistical analysis; CARMA; Hopfield networks; controlled ARMA; neural nets; predictive controllers; self-tuning controllers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1990., IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-0173-0
Type :
conf
DOI :
10.1109/ICSYSE.1990.203123
Filename :
5725655
Link To Document :
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