SINC(I)   25518
INSTITUTO DE INVESTIGACION EN SEÑALES, SISTEMAS E INTELIGENCIA COMPUTACIONAL
Unidad Ejecutora - UE
artículos
Título:
MPC for nonlinear systems: A comparative review of discretization methods
Autor/es:
NESTOR NAHUEL DENIZ; LEONARDO GIOVANINI; GUIDO SÁNCHEZ; MARINA MURILLO; LUCAS GENZELIS
Revista:
IEEE SPECTRUM
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Lugar: New York; Año: 2017
ISSN:
0018-9235
Resumen:
This work provides a comparative review of three different numerical methods generally used to discretize continuous-time non-linear equations appearing in model predictive control problems: direct multiple shooting, direct collocation and successive linearizations. An overview of the characteristics of each method is given and the performance of each method is evaluated through the simulation of two test cases.