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Compensation for unknown input disturbances in multiple‐input identification and optimal control
Author(s) -
Corlis R. G.,
Luus Rein
Publication year - 1971
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450490624
Subject(s) - control theory (sociology) , identification (biology) , compensation (psychology) , controller (irrigation) , noise (video) , filter (signal processing) , least squares function approximation , computer science , set (abstract data type) , control (management) , mathematics , statistics , artificial intelligence , estimator , psychoanalysis , psychology , botany , agronomy , image (mathematics) , computer vision , biology , programming language
The identification and optimal control of multiple‐input, single‐output chemical processes subjected to unknown disturbances is considered. The parameters of the model are estimated by an augmented least squares procedure which takes the noise into consideration by an additional noise shaping filter. The multiple‐input identification problem is then reduced to a set of single‐input problems by a stepwise least squares procedure operating on residuals. A two‐input shell and tube heat exchanger demonstrates the practical nature of the procedure. Based on the identified model, an optimal feed forward‐feedback controller can predict the effects of the input disturbances to compensate for these effects