It was shown recently that regions in the time-scale plane can be isolated wherein the prediction error can be attributed to the error of an individual model parameter. A necessary condition for this isolation capacity is the mutual (pairwise) identifiability of the model parameters. This paper presents conditions for mutual identifiability of parameters of linear models and refines these conditions for models that exhibit rank-1 dependency on the parameters.
- Dynamic Systems and Control Division
Mutual Identifiability Analysis for Parameter Signature Isolation in the Time-Scale Plane
Danai, K, McCusker, JR, & Hollot, CV. "Mutual Identifiability Analysis for Parameter Signature Isolation in the Time-Scale Plane." Proceedings of the ASME 2008 Dynamic Systems and Control Conference. ASME 2008 Dynamic Systems and Control Conference, Parts A and B. Ann Arbor, Michigan, USA. October 20–22, 2008. pp. 771-778. ASME. https://doi.org/10.1115/DSCC2008-2208
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