Methods and applications of parameter sensitivity analysis
Abstract:
Parameter sensitivity analysis provides an efficient way of assessing parametric dependencies in mathemsatical models and computer simulations. This is important for design optimisation, for estimating the effects of modelling errors and uncertainties in the analysis of system performance, for understanding issues such as test input design in experimental modelling and in the external validation of models. This chapter provides a review of methods of parameter sensitivity analysis and considers applications involving linear and nonlinear lumped parameter models.
Key words
sensitivity function
output sensitivity
sensitivity model
sensitivity bond graph
5.1 Fundamental ...
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