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A Scalable Formulation for Engineering Combination Therapies for Evolutionary Dynamics of Disease

In English

Författare

Summary, in English

It has been shown that optimal controller synthesis for positive systems can be formulated as a linear program. Leveraging these results, we propose a scalable iterative algorithm for the systematic design of sparse, small gain feedback strategies that stabilize the evolutionary dynamics of a generic disease model. We achieve the desired feedback structure by augmenting the optimization problems with l1 and l2 regularization terms, and illustrate our method on an example inspired by an experimental study aimed at finding appropriate HIV neutralizing antibody therapy combinations in the presence of escape mutants.

Publiceringsår

2014

Språk

Engelska

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Conference name

American Control Conference, 2014

Conference date

2014-06-04 - 2014-06-06

Conference place

Portland, OR, United States

Status

Published

Projekt

  • LCCC

Forskningsgrupp

  • LCCC