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Methods of Model Based Process Control pp 607–625Cite as

The Design of Nonlinear Predictive Controllers: Application to a Drug Infusion System

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Part of the book series: NATO ASI Series ((NSSE,volume 293))

Abstract

The importance of a number of practical issues when implementing nonlinear model predictive control on a drug infusion system are shown. The motivation for this system is a patient under congestive heart failure (heart attack) conditions. The control objective is to adjust the infusion rate of drugs to maintain the patient’s blood pressure and blood flowrate at desired values. A selective linearization technique is introduced to reduce the computation time for the model prediction step. A rule-based override procedure is developed to initialize the drug delivery rates to avoid unacceptably slow responses and operation in the ‘forbidden zone’. The performance of the multirate rule-based override model predictive control is illustrated through simulation examples.

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Author information

Authors and Affiliations

  1. The Howard P. Isermann Department of Chemical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180-3590, USA

    R. S. Gopinath & B. W. Bequette

Authors
  1. R. S. Gopinath
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  2. B. W. Bequette
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Editor information

Editors and Affiliations

  1. Department of Chemical Engineering, Ankara University, Ankara, Turkey

    Ridvan Berber

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© 1995 Springer Science+Business Media Dordrecht

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Gopinath, R.S., Bequette, B.W. (1995). The Design of Nonlinear Predictive Controllers: Application to a Drug Infusion System. In: Berber, R. (eds) Methods of Model Based Process Control. NATO ASI Series, vol 293. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0135-6_22

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  • DOI: https://doi.org/10.1007/978-94-011-0135-6_22

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4061-7

  • Online ISBN: 978-94-011-0135-6

  • eBook Packages: Springer Book Archive

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