Author/Authors
G. François، نويسنده , , B. Srinivasan and D. Bonvin، نويسنده ,
DocumentNumber
1384686
Title Of Article
Use of measurements for enforcing the necessary conditions of optimality in the presence of constraints and uncertainty
شماره ركورد
11326
Latin Abstract
Measurements can be used in an optimization framework to compensate the effects of uncertainty in the form of model mismatch
or process disturbances. Among the various options for input adaption, a promising approach consists of directly enforcing the necessary
conditions of optimality (NCO) that include two parts, the active constraints and the sensitivities. In this paper, the variations
of the NCO due to parametric uncertainty are studied and used to design appropriate adaptation laws. The inputs are separated into
constraint-seeking and sensitivity-seeking directions depending on which part of the NCO they enforce. In addition, the directional
influence of uncertainty is used to reduce the number of variables to adapt. The theoretical concepts are illustrated in simulation via
the run-to-run optimization of a batch emulsion polymerization reactor.
From Page
701
NaturalLanguageKeyword
Necessary conditions of optimality , NCO tracking , batch reactor , Emulsionpolymerization , dynamic optimization , Run-to-run optimization
JournalTitle
Studia Iranica
To Page
712
To Page
712
Link To Document