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Internal model control design for transition control
Author(s) -
Chiu MinSen,
Cui Shan,
Wang QingGuo
Publication year - 2000
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690460210
Subject(s) - internal model , control theory (sociology) , nonlinear system , stability (learning theory) , range (aeronautics) , control (management) , computer science , control engineering , mathematics , engineering , physics , artificial intelligence , quantum mechanics , machine learning , aerospace engineering
The problem of controlling processes with a wide range of operating conditions is addressed. The process dynamics is represented by the weighted‐sum of the linear model by using model validity functions. By treating the validity functions as uncertainties in the system, an internal model control (IMC) design strategy is developed for a particular class of nonlinear systems. Robust stability analysis under mixed time‐varying and time‐invariant uncertainties is presented. Simulation results confirm that the proposed IMC design method is indeed superior to its conventional counterpart.