PT  - JOURNAL ARTICLE
AU  - Vanessa Jonsson
AU  - Richard M. Murray
TI  - A Scalable Formulation for Engineering Combination Therapies for Evolutionary Dynamics of Disease
AID  - 10.1101/000075
DP  - 2013 Jan 01
TA  - bioRxiv
PG  - 000075
4099  - http://biorxiv.org/content/early/2013/11/07/000075.short
4100  - http://biorxiv.org/content/early/2013/11/07/000075.full
AB  - 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.