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Model‐system parameter mismatch in GPC control
Author(s) -
Ordys Andrzej W.
Publication year - 1993
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480070402
Subject(s) - control theory (sociology) , robustness (evolution) , regulator , robust control , mathematics , stability (learning theory) , control system , computer science , engineering , control (management) , biochemistry , chemistry , artificial intelligence , machine learning , electrical engineering , gene
This paper considers a linear discrete‐time system controlled by a GPC regulator. However the parameters and dynamic order of the system assumed for the regulator design differ from the true parameters. Hence there is a model‐system parameter mismatch. For this case it is shown how to determine the stability of the system and then how to calculate the mean values and variances of input and output signals. The formulae presented give some insight to the robustness of the stochastic GPC controller.