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Parameter identifiability and input–output equations
被引:0
|作者:
Alexey Ovchinnikov
Gleb Pogudin
Peter Thompson
机构:
[1] CUNY Queens College,Department of Mathematics
[2] CUNY Graduate Center,Ph.D. Program in Mathematics
[3] CUNY Graduate Center,Ph.D. Program in Computer Science
[4] Institute Polytechnique de Paris,LIX, CNRS, École Polytechnique
[5] National Research University Higher School of Economics,Department of Computer Science
[6] New York University,Courant Institute of Mathematical Sciences
来源:
关键词:
Structural parameter identifiability;
Input–output equations;
Identifiable functions;
12H05;
34A55;
93B25;
93B30;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Structural parameter identifiability is a property of a differential model with parameters that allows for the parameters to be determined from the model equations in the absence of noise. One of the standard approaches to assessing this problem is via input–output equations and, in particular, characteristic sets of differential ideals. The precise relation between identifiability and input–output identifiability is subtle. The goal of this note is to clarify this relation. The main results are:identifiability implies input–output identifiability;these notions coincide if the model does not have rational first integrals;the field of input–output identifiable functions is generated by the coefficients of a “minimal” characteristic set of the corresponding differential ideal. We expect that some of these facts may be known to the experts in the area, but we are not aware of any articles in which these facts are stated precisely and rigorously proved.
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页码:165 / 182
页数:17
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