F. Martinsen، نويسنده , , L.T. Biegler and B.A. Foss، نويسنده ,

1384622

A new optimization algorithm with application to nonlinear MPC

11523

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.

853

SQP , Model predictive control , Feasibility , optimization

Studia Iranica

865

865