The application of parameter sensitivity analysis methods to inverse simulation models

Murray-Smith, D.J. (2013) The application of parameter sensitivity analysis methods to inverse simulation models. Mathematical and Computer Modelling of Dynamical Systems, 19(1), pp. 67-90. (doi: 10.1080/13873954.2012.696271)

Abstract

Knowledge of the sensitivity of inverse solutions to variation of parameters of a model can be very useful in making engineering design decisions. This paper describes how parameter sensitivity analysis can be carried out for inverse simulations generated through approximate transfer function inversion methods and also by the use of feedback principles. Emphasis is placed on the use of sensitivity models and the paper includes examples and a case study involving a model of an underwater vehicle. It is shown that the use of sensitivity models can provide physical understanding of inverse simulation solutions that is not directly available using parameter sensitivity analysis methods that involve parameter perturbations and response differencing.

• Item Type: Articles
• Keywords: Parameter sensitivity, inverse simulation, sensitivity model, underwater vehicle
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor David
• Authors: Murray-Smith, D.J.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Mathematical and Computer Modelling of Dynamical Systems
• Publisher: Taylor and Francis
• ISSN: 1744-5051
• Published Online: 26 June 2012
• Copyright Holders: Copyright © 2012 Taylor and Francis
• First Published: First published in Mathematical and Computer Modelling of Dynamical Systems 19(1):67-90
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher