Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Model-Predictive Control in Practice

  • Thomas A. Badgwell
  • S. Joe Qin
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4471-5102-9_8-1

Abstract

This entry provides a brief description of model predictive control (MPC) technology and how it is used in practice. The emphasis here is on refining and chemical plant applications where the technology has achieved its greatest acceptance. After a short description of what MPC is and how it fits into the hierarchy of control functions, the basic algorithm is presented as a sequence of three optimization problems. The steps required for a successful application are then outlined, followed by a summary and outline of likely future directions for MPC technology.

Keywords

Computer control Mathematical programming Predictive control 
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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.ExxonMobil Research & EngineeringAnnandale, NJUSA
  2. 2.University of Southern CaliforniaLos Angeles, CAUSA