Author/Authors
F. Martinsen، نويسنده , , L.T. Biegler and B.A. Foss، نويسنده ,
DocumentNumber
1384622
Title Of Article
A new optimization algorithm with application to nonlinear MPC
شماره ركورد
11523
Latin Abstract
This paper investigates application of SQP optimization algorithms to nonlinear model predictive control. It considers feasible
vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs. full space methods. A new optimization algorithm
coined rFOPT which remains feasibile with respect to inequality constraints is introduced. The suitable choices between these
various strategies are assessed informally through a small CSTR case study. The case study also considers the effect various discretization
methods have on the optimization problem.
From Page
853
NaturalLanguageKeyword
SQP , Model predictive control , Feasibility , optimization
JournalTitle
Studia Iranica
To Page
865
To Page
865
Link To Document