CaltechAUTHORS
  A Caltech Library Service

Items where Person is "Swaminathan-A"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type | First Author | No Grouping
Jump to: 2018 | 2017 | 2016
Number of items: 7.

2018

Hsiao, Victoria and Swaminathan, Anandh and Murray, Richard M. (2018) Control Theory for Synthetic Biology: Recent Advances in System Characterization, Control Design, and Controller Implementation for Synthetic Biology. IEEE Control Systems Magazine, 38 (3). pp. 32-62. ISSN 0272-1708. https://resolver.caltech.edu/CaltechAUTHORS:20180524-091716800

Halleran, Andrew D. and Swaminathan, Anandh and Murray, Richard M. (2018) Single Day Construction of Multigene Circuits with 3G Assembly. ACS Synthetic Biology, 7 (5). pp. 1477-1480. ISSN 2161-5063. https://resolver.caltech.edu/CaltechAUTHORS:20180409-133942183

2017

Ren, Xinying and Baetica, Ania-Ariadna and Swaminathan, Anandh et al. (2017) Population regulation in microbial consortia using dual feedback control. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 5341-5347. ISBN 978-1-5090-2874-0. https://resolver.caltech.edu/CaltechAUTHORS:20170925-083417843

Sridharan, Gautham Vivek and Bruinsma, Bote Gosse and Bale, Shyam Sundhar et al. (2017) Metabolomic Modularity Analysis (MMA) to Quantify Human Liver Perfusion Dynamics. Metabolites, 7 (4). Art. No. 58. ISSN 2218-1989. https://resolver.caltech.edu/CaltechAUTHORS:20171117-075633850

Swaminathan, Anandh and Poole, William and Hsiao, Victoria et al. (2017) Fast and flexible simulation and parameter estimation for synthetic biology using bioscrape. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190325-142752006

Swaminathan, Anandh and Hsiao, Victoria and Murray, Richard M. (2017) Quantitative Modeling of Integrase Dynamics Using a Novel Python Toolbox for Parameter Inference in Synthetic Biology. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20170705-101737121

2016

Swaminathan, Anandh and Murray, Richard M. (2016) Linear System Identifiability from Distributional and Time Series Data. In: 2016 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 392-399. ISBN 978-1-4673-8680-7 . https://resolver.caltech.edu/CaltechAUTHORS:20160802-094940806

This list was generated on Sun Dec 8 11:48:02 2019 PST.