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An Overview of Nonlinear Model Predictive Control Applications

  • S. Joe Qin
  • Thomas A. Badgwell
Part of the Progress in Systems and Control Theory book series (PSCT, volume 26)

Abstract

This paper provides an overview of nonlinear model predictive control (NMPC) applications in industry, focusing primarily on recent applications reported by NMPC vendors. A brief summary of NMPC theory is presented to highlight issues pertinent to NMPC applications. Five industrial NMPC implementations are then discussed with reference to modeling, control, optimization, and implementation issues. Results from several industrial applications are presented to illustrate the benefits possible with NMPC technology. A discussion of future needs in NMPC theory and practice is provided to conclude the paper.

Keywords

Partial Little Square Extended Kalman Filter Model Predictive Control Reference Trajectory Linear Dynamic Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Basel AG 2000

Authors and Affiliations

  • S. Joe Qin
    • 1
  • Thomas A. Badgwell
    • 2
  1. 1.Department of Chemical EngineeringThe University of Texas at AustinAustin
  2. 2.Chemical Engineering Department,MS-362Rice UniversityHouston

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