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

Anastasis Georgoulas; Allan Clark; Andrea Ocone; Stephen Gilmore; Guido Sanguinetti

doi:10.4204/EPTCS.92.3

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

Anastasis Georgoulas, Allan Clark, Andrea Ocone, Stephen Gilmore, Guido Sanguinetti

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	30-41
Number of pages	12
Journal	Electronic Proceedings in Theoretical Computer Science
Volume	92
DOIs	https://doi.org/10.4204/EPTCS.92.3
Publication status	Published - 19 Aug 2012

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10.4204/EPTCS.92.3

1208.3850v1Final published version, 240 KB

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title = "A subsystems approach for parameter estimation of ODE models of hybrid systems",

abstract = "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.",

author = "Anastasis Georgoulas and Allan Clark and Andrea Ocone and Stephen Gilmore and Guido Sanguinetti",

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AU - Georgoulas, Anastasis

AU - Clark, Allan

AU - Ocone, Andrea

AU - Gilmore, Stephen

AU - Sanguinetti, Guido

PY - 2012/8/19

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DO - 10.4204/EPTCS.92.3

M3 - Article

VL - 92

SP - 30

EP - 41

JO - Electronic Proceedings in Theoretical Computer Science

JF - Electronic Proceedings in Theoretical Computer Science

ER -

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

Abstract

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