Brief Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices

  • Authors:
  • Jay H. Lee;Brian L. Cooley

  • Affiliations:
  • School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA;Exxon Chemical Company, Baton Rouge Plastics Plant, Baton Rouge, LA 70807-1840, USA

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2000

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Abstract

Min-max predictive control of a linear state-space system with a bounded set of input matrices is studied based on a quadratic performance criterion. Systems with stable and integrating dynamics as well as time-varying and time-invariant uncertainties are treated. Algorithms that are computationally manageable and ensure closed-loop stability are developed and tested.