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Towards Quantitative Analysis of Intelligent Simulink Models Using Stochastic Hybrid Automata
Intelligent cyber-physical systems have become ubiquitous in our daily lives, and they are increasingly used in uncertain or dynamic environments such as smart homes or self-driving vehicles. To model and simulate such systems in industrial practice, model-driven development frameworks such as MATLA
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