A combined Balanced Truncation and Multi-Parametric Programming approach for Linear Model Predictive Control Academic Article uri icon

abstract

  • We present a novel approach to Model Predictive Control problems, which combines a model reduction scheme coupled with parametric programming. Balanced Truncation is used to first reduce the size of the original Model Predictive Control formulation, while multi-parametric programming is employed to derive the parametric control laws offline. The theoretical developments are presented with an example problem. 2008 Elsevier B.V. All rights reserved.

published proceedings

  • 18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING

author list (cited authors)

  • Narciso, D., & Pistikopoulos, E.

citation count

  • 11

publication date

  • October 2008