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Towards the Design of Parametric Model Predictive Controllers for Non-linear Constrained Systems

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Assessment and Future Directions of Nonlinear Model Predictive Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 358))

Abstract

The benefits of parametric programming for the design of optimal controllers for constrained systems are widely acknowledged, especially for the case of linear systems. In this work we attempt to exploit these benefits and further extend the theoretical contributions to multi-parametric Model Predictive Control (mp-MPC) for non-linear systems with state and input constraints. The aim is to provide an insight and understanding of multi-parametric control and its benefits for non-linear systems and outline key issues for ongoing research work.

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Author information

Authors and Affiliations

  1. Centre for Process System Engineering, Department of Chemical Engineering, Imperial College London Roderic Hill Building, South Kensington Campus, London, SW, 7 2AZ, UK

    V. Sakizlis, K. I. Kouramas, N. P. Faisca & E. N. Pistikopoulos

Authors
  1. V. Sakizlis
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  2. K. I. Kouramas
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  3. N. P. Faisca
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  4. E. N. Pistikopoulos
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Editor information

Editors and Affiliations

  1. Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70550, Stuttgart, Germany

    Rolf Findeisen  & Frank Allgöwer  & 

  2. Chemical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Lorenz T. Biegler

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© 2007 Springer-Verlag Berlin Heidelberg

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Sakizlis, V., Kouramas, K.I., Faisca, N.P., Pistikopoulos, E.N. (2007). Towards the Design of Parametric Model Predictive Controllers for Non-linear Constrained Systems. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_15

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  • DOI: https://doi.org/10.1007/978-3-540-72699-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72698-2

  • Online ISBN: 978-3-540-72699-9

  • eBook Packages: EngineeringEngineering (R0)

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