Performance limitations in autocatalytic networks in biology
Abstract
Autocatalytic networks, where a member can stimulate its own production, can be unstable when not controlled by feedback. Even when such networks are stabilized by regulating control feedbacks, they tend to exhibit non-minimum phase behavior. In this paper, we study the hard limits of the ideal performance of such networks and the hard limit of their minimum output energy. We consider a simplified model of glycolysis as our motivating example. For the glycolysis model, we characterize hard limits on the minimum output energy by analyzing the limiting behavior of the optimal cheap control problem for two different interconnection topologies. We show that some network interconnection topologies result in zero hard limits. Then, we develop necessary tools and concepts to extend our results to a general class of autocatalytic networks.
Additional Information
© 2010 IEEE. The authors acknowledge research funding from the ONR through Grant N00014-08-1-0747, the ARO through Grant W911NF-08-1-0233, the AFOSR through Grants FA9550-08-1-0043 and FA9550-10-1-0143, the NSF through Grants EFRI-0735956 and ECCS-0835847 and ECCS-0802008 and CMMI-0626170, the NIH through Grant R01-GM04983 and the Institute for Collaborative Biotechnologies through Grant DAAD19-03-D-0004 from the US Army Research Office.Attached Files
Published - 05717362.pdf
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Additional details
- Eprint ID
- 93242
- Resolver ID
- CaltechAUTHORS:20190226-081811238
- Office of Naval Research (ONR)
- N00014-08-1-0747
- Army Research Office (ARO)
- W911NF-08-1-0233
- Air Force Office of Scientific Research (AFOSR)
- FA9550-08-1-0043
- Air Force Office of Scientific Research (AFOSR)
- FA9550-10-1-0143
- NSF
- EFRI-0735956
- NSF
- ECCS-0835847
- NSF
- ECCS-0802008
- NSF
- CMMI-0626170
- NIH
- R01-GM04983
- Army Research Office (ARO)
- DAAD19-03-D-0004
- Created
-
2019-02-26Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field