Guaranteed Nonlinear Set Estimation via Interval Analysis

  • L. Jaulin
  • É. Walter


Many methods have been developed for solving problems arising in mathematics and physics which are formulated in such a way as to require a point solution (e.g., a real number or vector). However, because of the uncertainty attached to the data and numerical errors induced by the finite-word-length representation in the computer, these methods are generally not appropriate to accurately characterize the uncertainty with which the solution is obtained. It is then difficult to assess the validity of the result.


Interval Analysis Inclusion Function Principal Plane Vector Interval Natural Interval Extension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • L. Jaulin
    • 1
  • É. Walter
    • 1
  1. 1.Laboratoire des Signaux et SystèmesCNRS École Supérieure d’ElectricitéGif-sur-Yvette CedexFrance

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