DocumentCode :
2410777
Title :
Delta-operator generalized predictive control (DGPC)
Author :
Neumann, R. ; Dumur, D. ; Boucher, P.
Author_Institution :
Ecole Superieure d´´Electricite, Gif-sur-Yvette, France
fYear :
1992
fDate :
1992
Firstpage :
2224
Abstract :
The authors present a version of the discrete time generalized predictive controller called DGPC, using the delta operator. The delta operator is introduced to overcome numerical problems which appear in discrete time models with very small sampling periods (oversampling). A polynomial approach is developed for the DGPC controller using transfer functions, with the advantages of quicker real-time computation and the possibility of stability analysis
Keywords :
discrete time systems; polynomials; predictive control; transfer functions; delta operator; discrete time models; generalized predictive control; polynomial; sampling periods; stability analysis; transfer functions; Cost function; Equations; Numerical models; Optimal control; Polynomials; Predictive control; Sampling methods; Stability analysis; Taylor series; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
Type :
conf
DOI :
10.1109/CDC.1992.371397
Filename :
371397
Link To Document :
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