Quantified safety modeling of autonomous systems with hierarchical semi-Markov processes
In quantified safety engineering, mathematical probability models are used to predict the risk of failure or hazardous events in systems. Markov processes have commonly been utilized to analyze the safety of systems modeled as discrete-state stochastic processes. In continuous time Markov models, tr...
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| Format: | Others |
| Language: | English |
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KTH, Optimeringslära och systemteori
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276959 |