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

{{HTDB paper
| authors = Vanessa Jonsson and Richard M. Murray
| title = A Scalable Formulation for Engineering Combination Therapies for Evolutionary Dynamics of Disease
| source = Submitted, 2014 American Control Conference (ACC)
| year = 2013
| type = Conference Paper
| funding = 
| url = http://www.cds.caltech.edu/~murray/preprints/jm14-acc_s.pdf
| abstract = 
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 algo- rithm 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 `1 and `2 regular- ization 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.

| flags = 
| filetype = PDF
| filesize = 608K
| tag = jm14-acc
| id = 2013j
}}