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Nonlinear Predictive Control Using Constraints Satisfaction

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Global Optimization and Constraint Satisfaction (COCOS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3478))

Abstract

During the last few years, control schemes using interval analysis have been investigated. Several approaches have been proposed in order to get robust control in presence of model uncertainties [7, 10] or for state estimation [6].

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References

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Author information

Authors and Affiliations

  1. Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier, UMR CNRS UM2 5506, 161 rue Ada, 34392, Montpellier Cedex 5, France

    Fabien Lydoire & Philippe Poignet

Authors
  1. Fabien Lydoire
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  2. Philippe Poignet
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Editor information

Editors and Affiliations

  1. LINA, FRE CNRS 2729 – University of Nantes, 2, rue de la Houssinière, BP 92208, F-44322, Nantes cedex 3, France

    Christophe Jermann

  2. Institute for Mathematics, University Wien, Nordbergstr. 15, A-1090, Wien, Austria

    Arnold Neumaier

  3. Artificial Intelligence Laboratory, Swiss Federal Institute of Technology, Route J.-D. Colladon, Bat. INR, Office 235, CH-1015, Lausanne, Switzerland

    Djamila Sam

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© 2005 Springer-Verlag Berlin Heidelberg

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Lydoire, F., Poignet, P. (2005). Nonlinear Predictive Control Using Constraints Satisfaction. In: Jermann, C., Neumaier, A., Sam, D. (eds) Global Optimization and Constraint Satisfaction. COCOS 2003. Lecture Notes in Computer Science, vol 3478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11425076_11

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  • DOI: https://doi.org/10.1007/11425076_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26003-5

  • Online ISBN: 978-3-540-32041-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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