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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Sensitivity Analysis Of Linear Inverse Models To Parameter Uncertainties

Authors:

Geneviève Dauphin - Tanguy

Published in:

 

ECMS 2008 Proceedings

Edited by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain

 

ISBN: 978-0-9553018-6-5

Doi: 10.7148/2008

 

22nd European Conference on Modelling and Simulation,

Nicosia, June 3-6, 2008

 

Citation format:

Dauphin-Tanguy, G. (2008). Sensitivity Analysis Of Linear Inverse Models To Parameter Uncertainties. ECMS 2008 Proceedings edited by: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain (pp. 464-470). European Council for Modeling and Simulation. doi:10.7148/2008-0464

DOI:

http://dx.doi.org/10.7148/2008-0464

Abstract:

The paper deals with the problem of sensitivity analysis of linear inverse models to parameter uncertainties. A new procedure is proposed to calculate symbolically the sensitivity matrix of a MIMO model using the sensitivity bond graph, bicausality and the Mason’s rule. An implementation on a mechanical model shows the interest of the method.

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