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bioRxiv · 10.1101/244301

Control and the Analysis of Cancer Growth Models

Tannenbaum, A. R.·Georgiou, T.·Deasy, J.·Norton, L.
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Abstract

In this note, we analyze two cancer dynamical models from a system-theoretic point of view. The first model is based upon stochastic controlled versions of the classical Lotka-Volterra equations. Here we consider from a controls point of view the utility of employing ultrahigh dose flashes in radiotherapy. The second is based on work of Norton-Simon-Massague growth model that takes into account the heterogeneity of a tumor cell population. We indicate an optimal strategy based on linear quadratic control applied to a linear transformed model.

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Tannenbaum, A. R., Georgiou, T., Deasy, J., Norton, L.. 2018-01-07. Control and the Analysis of Cancer Growth Models. https://doi.org/10.1101/244301

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