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Characterization of non-connected parameter uncertainty regions

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  • Piet-Lahanier, H.
  • Walter, E.

Abstract

Set-membership estimation (or parameter bounding) uses a non-statistical description of the acceptable error between the measurements and corresponding model outputs in the form of prior upper and lower bounds. It aims at characterizing the set S of all parameter vectors that are consistent with the data when these bounds are taken into account. It does not rely on any asymptotic theory, which makes it particularly suitable for applications where the number of data points is very limited, such as is often the case in biology for example. In this paper, we describe an improved version of an algorithm recently proposed for determining the feasible parameter set (or membership set) associated with models whose outputs are nonlinear in their parameters. The method now allows the description of non-connected sets. It is applied to simulated examples that illustrate some practical problems where S turns out not to be connected.

Suggested Citation

  • Piet-Lahanier, H. & Walter, E., 1990. "Characterization of non-connected parameter uncertainty regions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 553-560.
  • Handle: RePEc:eee:matcom:v:32:y:1990:i:5:p:553-560
    DOI: 10.1016/0378-4754(90)90011-7
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    References listed on IDEAS

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    1. Walter, Eric & Piet-Lahanier, Hélène, 1990. "Estimation of parameter bounds from bounded-error data: a survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 449-468.
    2. Pronzato, Luc & Walter, Eric & Venot, Alain & Lebruchec, Jean-Francois, 1984. "A general-purpose global optimizer: Implimentation and applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 26(5), pages 412-422.
    3. Walter, E. & Piet-Lahanier, H. & Happel, J., 1986. "Estimation of non-uniquely identifiable parameters via exhaustive modeling and membership set theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 28(6), pages 479-490.
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    1. Walter, Eric & Piet-Lahanier, Hélène, 1990. "Estimation of parameter bounds from bounded-error data: a survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 449-468.
    2. Jaulin, Luc & Walter, Eric, 1993. "Guaranteed nonlinear parameter estimation from bounded-error data via interval analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 35(2), pages 123-137.

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