| dc.contributor.author | Everett, Michael | |
| dc.contributor.author | Habibi, Golnaz | |
| dc.contributor.author | How, Jonathan P | |
| dc.date.accessioned | 2022-09-13T16:20:51Z | |
| dc.date.available | 2022-09-13T16:20:51Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145373 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.23919/ACC50511.2021.9483033 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Everett, Michael, Habibi, Golnaz and How, Jonathan P. 2021. "Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems." 2021 American Control Conference (ACC). | |
| dc.contributor.department | Massachusetts Institute of Technology. Aerospace Controls Laboratory | |
| dc.relation.journal | 2021 American Control Conference (ACC) | en_US |
| dc.eprint.version | Original manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-09-13T16:08:43Z | |
| dspace.orderedauthors | Everett, M; Habibi, G; How, JP | en_US |
| dspace.date.submission | 2022-09-13T16:08:45Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
