@article{d6d323e1-902b-44d1-b3fc-68a8fd57595f, author = {Krzysztof Tomczyk, Marek Sieja}, title = {Assessment of propagation of modelling uncertainty by the procedures for determining maximum dynamic errors}, journal = {Technical Transactions}, volume = {2017}, number = {Volume 12 Year 2017 (114)}, year = {2017}, issn = {0011-4561}, pages = {157-169},keywords = {uncertainties of model parameters; time domain modelling; maximum dynamic error}, abstract = {The paper discusses the method for modelling linear analogue systems of the second order in the time domain. As a result of such modelling, the parameters of the model and the associated uncertainties are obtained. Procedures for determining the absolute error and the integral-square error are presented. These procedures make it possible to determine precisely such an input sig-nal with one constraint that maximizes an error at the output of the system. Values of the parameters of an example model are determined and the propagation of the uncertainties of modelling results is assessed by the procedures for determining the maximum dynamic errors. The results of calculations presented in the paper were carried out in MathCad15.}, doi = {10.4467/2353737XCT.17.216.7759}, url = {https://ejournals.eu/en/journal/czasopismo-techniczne/article/assessment-of-propagation-of-modelling-uncertainty-by-the-procedures-for-determining-maximum-dynamic-errors} }