On a notion of stochastic zeroing barrier function

Tamba, Tua A.; Hu, Bin; Nazaruddin, Yul Y.

dc.contributor.author	Tamba, Tua A.
dc.contributor.author	Hu, Bin
dc.contributor.author	Nazaruddin, Yul Y.
dc.date.accessioned	2023-12-07T03:53:34Z
dc.date.available	2023-12-07T03:53:34Z
dc.date.issued	2021
dc.identifier.issn	2378-5861
dc.identifier.other	maklhsc799
dc.identifier.uri	http://hdl.handle.net/123456789/16668
dc.description	Makalah dipresentasikan pada Proceedings of 2021 American Control Conference (ACC); New Orleans, USA, May 25-28, 2021. p. 1318-1321	en_US
dc.description.abstract	This paper examines the safety verification of the sample path of Ito’s stochastic differential equations (SDE) using a notion of stochastic zeroing barrier function (SZBF). It is shown that an extension of the recently developed zeroing barrier function concept in deterministic systems can be derived to formulate an SZBF based safety verification method for It´o’s SDE sample paths. The main tools in the proposed method include It´o’s calculus and stochastic invariance concept.	en_US
dc.language.iso	en	en_US
dc.publisher	2021	en_US
dc.title	On a notion of stochastic zeroing barrier function	en_US
dc.type	Conference Papers	en_US