Article ID Journal Published Year Pages File Type
10403635 IFAC Proceedings Volumes 2005 6 Pages PDF
Abstract
This paper proposes advanced visualization and interaction techniques as a support for the analysis of system identification data. Non-linear or time-dependent dynamics often leave a significant residual with linear, time-invariant models. The structure of this residual is decisive for the subsequent modelling and by visually analysing the data the modeller may gain a deeper insight into its structure than can be gained using only standard correlation analysis.
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
Authors
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