Author/Authors :
J.O. Trierweiler and L.A. Farina، نويسنده ,
Title Of Article :
RPN tuning strategy for modelpr edictive
control
Latin Abstract :
A novel tuning strategy based on RPN for MIMO MPC is presented. The RPN indicates how potentially difficult it is for a given
system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality.
These system’s properties are the basis of the proposed RPN-MPC tuning strategy, which is applied in the controller
design of an air separation plant and a CSTR with the Van de Vusse’s reaction. Although it was only used a linear nominal model,
the results can also be applied at least at some extent for nonlinear systems with uncertainties.
NaturalLanguageKeyword :
Tuning Strategy , Controllability measure , RPN , Model predictive control
JournalTitle :
Studia Iranica
