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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03358naa a2200397 4500 | |
| 001 | oai:research.chalmers.se:fd7a3a20-974d-410b-addb-88f68e20a14e | |
| 003 | SwePub | |
| 008 | 171010s2012 | |||||||||||000 ||eng| | |
| 020 | a 9783902823069 | |
| 024 | 7 | a https://research.chalmers.se/publication/1708412 URI |
| 024 | 7 | a https://doi.org/10.3182/20120711-3-BE-2027.003812 DOI |
| 040 | a (SwePub)cth | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a kon2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Anguelova, Milena,d 19784 aut |
| 245 | 1 0 | a An Efficient Method for Structural Identiability Analysis of Large Dynamic Systems |
| 264 | 1 | c 2012 |
| 338 | a electronic2 rdacarrier | |
| 520 | a Ordinary differential equation models often contain a large number of parameters that must be determined from measurements by parameter estimation. For a parameter estimation procedure to be successful, there must be a unique set of parameters that can have produced the measured data. This is not the case if a model is not structurally identifiable with the given set of outputs selected as measurements. We describe the implementation of a recent probabilistic semi-numerical method for testing local structural identifiability based on computing the rank of a numerically instantiated Jacobian matrix (observability/identifiability matrix). To obtain this, matrix parameters and initial conditions are specialized to random integer numbers, inputs are specialized to truncated random integer coefficient power series, and the corresponding output of the state space system is computed in terms of a truncated power series, which then is utilized to calculate the elements of a Jacobian matrix. To reduce the memory requirements and increase the speed of the computations all operations are done modulo a large prime number. The method has been extended to handle parametrized initial conditions and is demonstrated to be capable of handling systems in the order of a hundred state variables and equally many parameters on a standard desktop computer. | |
| 650 | 7 | a NATURVETENSKAPx Matematikx Beräkningsmatematik0 (SwePub)101052 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Mathematicsx Computational Mathematics0 (SwePub)101052 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Systemvetenskap, informationssystem och informatik0 (SwePub)102022 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Information Systems0 (SwePub)102022 hsv//eng |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng |
| 653 | a Identifiability | |
| 653 | a Nonlinear System Identification | |
| 653 | a Biological Systems | |
| 700 | 1 | a Jirstrand, Mats,d 19684 aut |
| 700 | 1 | a Karlsson, Johan,d 19724 aut |
| 773 | 0 | t 16th IFAC Symposium on System Identificationg 16:1, s. 941-946q 16:1<941-946x 1474-6670z 9783902823069 |
| 856 | 4 | u http://publications.lib.chalmers.se/records/fulltext/170841/local_170841.pdfx primaryx freey FULLTEXT |
| 856 | 4 8 | u https://research.chalmers.se/publication/170841 |
| 856 | 4 8 | u https://doi.org/10.3182/20120711-3-BE-2027.00381 |
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