State modeling to identify critical situations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for modeling complex human-integrated systems is presented, in which 'critical situations,' which are system configurations where a possible but unexpected control action by an agent in the system can result in an accident in less time than agents need to detect and respond, can be identified. The models are developed from the perspective of the system, and can be demonstrated to be complete. It is argued that, in order to ensure a system is safe, these situations must be controlled, but in many cases such an assurance would render the system impractical or even infeasible. Lastly, it is shown how this method can be used to evaluate the effectiveness of a system, in addition to its safety.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 Resilience Week, RWS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-183
Number of pages6
ISBN (Electronic)9781509020027
DOIs
StatePublished - Sep 21 2016
Event2016 Resilience Week, RWS 2016 - Chicago, United States
Duration: Aug 16 2016Aug 18 2016

Publication series

NameProceedings - 2016 Resilience Week, RWS 2016

Conference

Conference2016 Resilience Week, RWS 2016
CountryUnited States
CityChicago
Period8/16/168/18/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Fingerprint Dive into the research topics of 'State modeling to identify critical situations'. Together they form a unique fingerprint.

Cite this