TY - JOUR
T1 - MINIMIZING UNOBSERVABILITY IN INFERENTIAL CONTROL SCHEMES.
AU - Morari, Manfred
AU - Stephanopoulos, George
N1 - Funding Information:
Financial support from the National Science Foundation through Grant No. ENG75-11165 is gratefully acknowledged.
PY - 1980
Y1 - 1980
N2 - Slowly-varying persistent unmeasured disturbances, i. e. disturbances which allow the process to exhibit quasi steady-state behavior most of the time, are very common in process-control systems. The inferential control schemes employing the well-known state-reconstruction methods (Luenberger observer, Kalman filter) are unable to cope with such disturbances and have been demonstrated to lead to large errors. The augmentation of the state vector has been proposed as a means for overcoming these difficulties. This paper shows that this procedure yields in general (i. e. always when the number of disturbances exceeds the number of measurements) problems of structural observability and suggests an optimal way to resolve them.
AB - Slowly-varying persistent unmeasured disturbances, i. e. disturbances which allow the process to exhibit quasi steady-state behavior most of the time, are very common in process-control systems. The inferential control schemes employing the well-known state-reconstruction methods (Luenberger observer, Kalman filter) are unable to cope with such disturbances and have been demonstrated to lead to large errors. The augmentation of the state vector has been proposed as a means for overcoming these difficulties. This paper shows that this procedure yields in general (i. e. always when the number of disturbances exceeds the number of measurements) problems of structural observability and suggests an optimal way to resolve them.
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U2 - 10.1080/00207178008961047
DO - 10.1080/00207178008961047
M3 - Article
AN - SCOPUS:0018985517
SN - 0020-7179
VL - 31
SP - 367
EP - 377
JO - International Journal of Control
JF - International Journal of Control
IS - 2
ER -