Implementing the optimal bounding ellipsoid algorithm on a fast processor

Author(s):  
J.R. Deller ◽  
S.F. Odeh
2016 ◽  
Vol 26 (3) ◽  
pp. 543-553 ◽  
Author(s):  
Messaoud Amairi

Abstract This paper presents a new formulation for set-membership parameter estimation of fractional systems. In such a context, the error between the measured data and the output model is supposed to be unknown but bounded with a priori known bounds. The bounded error is specified over measurement noise, rather than over an equation error, which is mainly motivated by experimental considerations. The proposed approach is based on the optimal bounding ellipsoid algorithm for linear output-error fractional models. A numerical example is presented to show effectiveness and discuss results.


Author(s):  
Jean Cardinal ◽  
Samuel Fiorini ◽  
Gwenaël Joret ◽  
Raphaël M. Jungers ◽  
J. Ian Munro

1985 ◽  
Vol 13 ◽  
pp. 85-94 ◽  
Author(s):  
M Kupferschmid ◽  
K Mohrmann ◽  
J.G Ecker ◽  
H Kaufman

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