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LONG‐RANGE PREDICTIVE CONTROL WITH STEADY STATE ERROR WEIGHTING
Author(s) -
KWOK K. EZRA,
SHAH SIRISH L.
Publication year - 1997
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/(sici)1099-1115(199705)11:3<201::aid-acs429>3.0.co;2-0
Subject(s) - weighting , model predictive control , control theory (sociology) , range (aeronautics) , horizon , steady state (chemistry) , matching (statistics) , controller (irrigation) , control (management) , mathematics , computer science , engineering , statistics , artificial intelligence , medicine , agronomy , chemistry , geometry , biology , radiology , aerospace engineering
The long‐range predictive control strategy is extended to include a terminal matching condition so that the final control law minimizes the squares of prediction errors over a small future prediction horizon and at steady state. The weighting on the terminal condition is a better alternative than a large prediction horizon, which requires a heavy computational load. It also leads to the formulation of an approximate long range predictive controller with knowledge of only a few initial step response coefficients and the steady state gain. Evaluations of steady state error weighting show that the weighting provides similar effects to ordinary control weighting but in addition has the stabilizing effects of a large predictive control horizon. An adaptive version of this control strategy has been successfully applied to the control of mean arterial blood pressure. © 1997 by John Wiley & Sons, Ltd.