Publication
CDC 2018
Conference paper

On the identification of biochemical systems from intermittent and noisy data

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Abstract

Recently, system identification of biochemical circuits and systems has gained much research attention. In this paper we show how the problem of identifying a biochemical circuit of interest can be recast as a minimax state estimation problem. Building upon this framework, we present algorithmic procedures which not only estimate the biochemical parameters of a system/circuit of interest from noisy and intermittent data, but also the functions of the underlying dynamical model.

Date

18 Jan 2019

Publication

CDC 2018

Authors

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