{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T14:53:47Z","timestamp":1768488827341,"version":"3.49.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100012127","name":"Research Scholarship and Creative Activity (RSCA) Grant Program of Augusta University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012127","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tcyb.2021.3053575","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T19:52:40Z","timestamp":1616010760000},"page":"9587-9596","source":"Crossref","is-referenced-by-count":7,"title":["Runtime Safety Monitoring of Neural-Network-Enabled Dynamical Systems"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9065-8428","authenticated-orcid":false,"given":"Weiming","family":"Xiang","sequence":"first","affiliation":[{"name":"School of Computer and Cyber Sciences, Augusta University, Augusta, GA, USA"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.nahs.2011.08.001"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2011.2164820"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2015.10.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1142\/1192"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.2859"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2692100"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2015.11.010"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2016.2524996"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2930945"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30942-8_39"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/FormaliSE.2019.00012"},{"key":"ref12","author":"lomuscio","year":"2017","journal-title":"An approach to reachability analysis for feed-forward relu neural networks"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/978-3-319-77935-5_9","article-title":"Output range analysis for deep feedforward neural networks","author":"dutta","year":"2018","journal-title":"Proc NASA Formal Methods Symp"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/978-3-319-68167-2_19","article-title":"Formal verification of piece-wise linear feed-forward neural networks","author":"ehlers","year":"2017","journal-title":"Proc Int Symp Autom Technol Verification Anal"},{"key":"ref15","first-page":"97","article-title":"Reluplex: An efficient SMT solver for verifying deep neural networks","author":"katz","year":"2017","journal-title":"Proc Int Conf Comput Aided Verification"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2808470"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/72.963772"},{"key":"ref18","article-title":"Reachable set estimation for neural network control systems: A simulation-guided approach","author":"xiang","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref19","author":"xiang","year":"2018","journal-title":"Specification-guided safety verification for feedforward neural networks"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2017.07.016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2647626"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2908676"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2536748"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(92)90053-I"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2015.10.025"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2906372"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2018.8431048"},{"key":"ref7","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2886023"},{"key":"ref9","author":"xiang","year":"2017","journal-title":"Reachable set computation and safety verification for neural networks with ReLU activations"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2306202"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3800(00)00279-9"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.07.043"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1134\/S0005117916020016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/oca.2360"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2018.11.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2019.104541"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9861400\/09380552.pdf?arnumber=9380552","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T23:12:56Z","timestamp":1670368376000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9380552\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":38,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3053575","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}