| dc.contributor.author | Tobenkin, Mark M. | |
| dc.contributor.author | Manchester, Ian R. | |
| dc.contributor.author | Wang, Jennifer | |
| dc.contributor.author | Megretski, Alexandre | |
| dc.contributor.author | Tedrake, Russell Louis | |
| dc.date.accessioned | 2012-09-13T19:46:54Z | |
| dc.date.available | 2012-09-13T19:46:54Z | |
| dc.date.issued | 2010-12 | |
| dc.identifier.isbn | 978-1-4244-7745-6 | |
| dc.identifier.issn | 0743-1546 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/72943 | |
| dc.description.abstract | A new framework for nonlinear system identification is presented in terms of optimal fitting of stable nonlinear state space equations to input/output/state data, with a performance objective defined as a measure of robustness of the simulation error with respect to equation errors. Basic definitions and analytical results are presented. The utility of the method is illustrated on a simple simulation example as well as experimental recordings from a live neuron. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.). (Grant number 0835947) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/CDC.2010.5718114 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | IEEE | en_US |
| dc.title | Convex optimization in identification of stable non-linear state space models | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Tobenkin, Mark M. et al. “Convex Optimization in Identification of Stable Non-linear State Space Models.” Proceedings of the 49th IEEE Conference on Decision and Control (CDC), 2010. 7232–7237. © Copyright 2010 IEEE | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
| dc.contributor.approver | Megretski, Alexandre | |
| dc.contributor.mitauthor | Tobenkin, Mark M. | |
| dc.contributor.mitauthor | Manchester, Ian R. | |
| dc.contributor.mitauthor | Wang, Jennifer | |
| dc.contributor.mitauthor | Megretski, Alexandre | |
| dc.contributor.mitauthor | Tedrake, Russell Louis | |
| dc.relation.journal | Proceedings of the 49th IEEE Conference on Decision and Control (CDC), 2010 | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| dspace.orderedauthors | Tobenkin, Mark M.; Manchester, Ian R.; Wang, Jennifer; Megretski, Alexandre; Tedrake, Russ | en |
| dc.identifier.orcid | https://orcid.org/0000-0001-9088-0205 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-8712-7092 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |
