We present a new method for parameter identification of ODE system descriptions based on data measurements. Our method works by splitting the system into a number of subsystems and working on each of them separately, thereby being easily parallelisable, and can also deal with noise in the observations.
CITATION STYLE
Georgoulas, A., Clark, A., Ocone, A., Gilmore, S., & Sanguinetti, G. (2012). A subsystems approach for parameter estimation of ODE models of hybrid systems. In Electronic Proceedings in Theoretical Computer Science, EPTCS (Vol. 92, pp. 30–41). Open Publishing Association. https://doi.org/10.4204/EPTCS.92.3
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