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Assessment and Future Directions of Nonlinear Model Predictive Control pp 239–254Cite as

Robustness and Robust Design of MPC for Nonlinear Discrete-Time Systems

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

Abstract

In view of the widespread success of Model Predictive Control (MPC), in recent years attention has been paid to its robustness characteristics, either by examining the robustness properties inherent to stabilizing MPC algorithms, or by developing new MPC methods with enhanced robustness properties.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, University of Pavia, Italy

    Lalo Magni

  2. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy

    Riccardo Scattolini

Authors
  1. Lalo Magni
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  2. Riccardo Scattolini
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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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Magni, L., Scattolini, R. (2007). Robustness and Robust Design of MPC for Nonlinear Discrete-Time 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_19

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  • DOI: https://doi.org/10.1007/978-3-540-72699-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72698-2

  • Online ISBN: 978-3-540-72699-9

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