A subsystems approach for parameter estimation of ODE models of hybrid systems

Anastasis Georgoulas
Allan Clark
Andrea Ocone
Stephen Gilmore
Guido Sanguinetti

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.

In Ezio Bartocci and Luca Bortolussi: Proceedings First International Workshop on Hybrid Systems and Biology (HSB 2012), Newcastle Upon Tyne, 3rd September 2012, Electronic Proceedings in Theoretical Computer Science 92, pp. 30–41.
Published: 15th August 2012.

ArXived at: http://dx.doi.org/10.4204/EPTCS.92.3 bibtex PDF
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