Giovanni Russo, Robert Shorten
Physica D: Nonlinear Phenomena
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.
Giovanni Russo, Robert Shorten
Physica D: Nonlinear Phenomena
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IEEE TACON
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CDC 2018