Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Model Predictive Control in Practice

  • Thomas A. BadgwellEmail author
  • S. Joe Qin
Living reference work entry

Latest version View entry history

DOI: https://doi.org/10.1007/978-1-4471-5102-9_8-2

Abstract

Model predictive control (MPC) refers to a class of computer control algorithms that utilize an explicit mathematical model to optimize the predicted behavior of a process. At each control interval, an MPC algorithm computes a sequence of future process adjustments that optimize a specified control objective. The first adjustment is implemented and then the calculation is repeated at the next control cycle. Originally developed to meet the particular needs of petroleum refinery and power plant control problems, MPC technology has evolved significantly in both capability and scope and can now be found in many other control application domains.

Keywords

Predictive control Computer control Mathematical programming 
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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.ExxonMobil Research and EngineeringAnnandaleUSA
  2. 2.University of Southern CaliforniaLos AngelesUSA

Section editors and affiliations

  • James B. Rawlings
    • 1
  1. 1.Dept. of Chemical EngineeringUniversity of CaliforniaSanta BarbaraUSA