Essays about: "Semi-Markov processes"
Showing result 1 - 5 of 7 essays containing the words Semi-Markov processes.
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1. Reliability Based Classification of Transitions in Complex Semi-Markov Models
University essay from KTH/Matematisk statistikAbstract : Markov processes have a long history of being used to model safety critical systems. However, with the development of autonomous vehicles and their increased complexity, Markov processes have been shown to not be sufficiently precise for reliability calculations. READ MORE
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2. Modelling Parallel Stochastic-Time Systems Using Timed and Synchronous Layers : Introducing the Parallel Stochastic Timed State Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the development phase of real-world cyper-physical systems, modelling and analysis often plays a vital role. For instance, before a new system is produced and deployed, questions such as ‘what is the probability that the system will fail within its lifetime?’ must be answered. READ MORE
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3. Approximation of General Semi-Markov Models Using Expolynomials
University essay from KTH/Matematisk statistikAbstract : Safety analysis is critical when developing new engineering systems. Many systems have to function under randomly occurring events, making stochastic processes useful in a safety modelling context. However, a general stochastic process is very challenging to analyse mathematically. READ MORE
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4. Modelling Safety of Autonomous Driving with Semi-Markov Processes
University essay fromAbstract : With the advent of autonomous vehicles, the issue of safety-evaluationhas become key. ISO26262 recommends using Markov chains. However, in their most common form, Markov chains lack the flexibility required to model non- exponential probability distributions and systems displaying parallelism. READ MORE
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5. Quantified safety modeling of autonomous systems with hierarchical semi-Markov processes
University essay from KTH/Optimeringslära och systemteoriAbstract : 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. READ MORE