Combined nonlinear model reduction and multiparametric nonlinear programming for nonlinear model predictive control
Book
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
This work presents a methodology which combines nonlinear model reduction techniques with recent advances in multiparametric nonlinear programming (mp-NLP) to derive explicit multiparametric controllers for nonlinear MPC (NMPC). Nonlinear model order reduction (NMOR) techniques based on empirical gramians are used for the model reduction step. The approach is illustrated on a 32 states distillation column model example. 2011 Elsevier B.V.