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inria-00275461, version 1

An algebraic method for multi-dimensional derivative estimation

Samer Riachy () c12, Yara Bachalany () a1, Mamadou Mboup () b234, Jean-Pierre Richard c12

MED'08, 16th IEEE Mediterranean Conference on Control and Automation (2008)

Abstract: This communication revisits the algebra-based results for derivative estimation presented by Fliess and coauthors in 2005. It is proposed, here, to consider multidimensional functions, namely scalar or vector fields of several variables. Such fields are locally represented by a vector Taylor series expansion, and a computation technique is presented so to put successive partial derivatives (for instance, the gradient, the Hessian matrix...) as functions of iterated integrals of the measured quantities.

  • a –  Université des Sciences et Technologies de Lille - Lille I
  • b –  Université René Descartes - Paris V
  • c –  Ecole Centrale de Lille
  • 1:  Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS)
  • CNRS : UMR8146 – Université Lille I - Sciences et technologies – Ecole Centrale de Lille
  • 2:  ALIEN (INRIA Saclay - Ile de France/Inria Lille - Nord Europe)
  • INRIA – Polytechnique - X – Ecole Centrale de Lille – CNRS : UMR8146
  • 3:  Centre de Recherche en Informatique de Paris 5 (CRIP5)
  • Université Paris V - Paris Descartes
  • 4:  UFR de Mathématiques et Informatique [Paris V]
  • Université Paris V - Paris Descartes
  • Domain : Computer Science/Automatic Control Engineering
    Computer Science/Signal and Image Processing
    Mathematics/Optimization and Control
    Engineering Sciences/Signal and Image processing
 
  • inria-00275461, version 1
  • oai:hal.inria.fr:inria-00275461
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  • Submitted on: Wednesday, 23 April 2008 23:18:14
  • Updated on: Wednesday, 19 September 2012 22:00:45