Show simple item record

dc.contributor.authorDel Vecchio, Domitilla
dc.date.accessioned2017-05-02T17:38:02Z
dc.date.available2017-05-02T17:38:02Z
dc.date.issued2013-10
dc.date.submitted2013-03
dc.identifier.issn1367-5788
dc.identifier.urihttp://hdl.handle.net/1721.1/108595
dc.description.abstractControl theory has been instrumental for the analysis and design of a number of engineering systems, including aerospace and transportation systems, robotics and intelligent machines, manufacturing chains, electrical, power, and information networks. In the past several years, the ability of de novo creating biomolecular networks and of measuring key physical quantities has come to a point in which quantitative analysis and design of biological systems is possible. While a modular approach to analyze and design complex systems has proven critical in most control theory applications, it is still subject of debate whether a modular approach is viable in biomolecular networks. In fact, biomolecular networks display context-dependent behavior, that is, the input/output dynamical properties of a module change once this is part of a network. One cause of context dependence, similar to what found in many engineering systems, is retroactivity, that is, the effect of loads applied on a module by downstream systems. In this paper, we focus on retroactivity and review techniques, based on nonlinear control and dynamical systems theory, that we have developed to quantify the extent of modularity of biomolecular systems and to establish modular analysis and design techniques.en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.arcontrol.2013.09.011en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleA control theoretic framework for modular analysis and design of biomolecular networksen_US
dc.typeArticleen_US
dc.identifier.citationDel Vecchio, Domitilla. “A Control Theoretic Framework for Modular Analysis and Design of Biomolecular Networks.” Annual Reviews in Control 37.2 (2013): 333–345.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorDel Vecchio, Domitilla
dc.relation.journalAnnual Reviews in Controlen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDel Vecchio, Domitillaen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6472-8576
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record