Probabilistic model checking for hybrid systems with hybrid concolic testing and importance sampling
Hybrid systems are dynamic systems that exhibit both continuous and discrete behavior. Many real-world engineering problems can be categorized as hybrid systems, including part of the typical cyber-physical systems. Hybrid systems are known to be hard to analyze and verify as they can both flow with...
محفوظ في:
المؤلف الرئيسي: | Kong, Pingfan |
---|---|
مؤلفون آخرون: | Liu Yang |
التنسيق: | Theses and Dissertations |
اللغة: | English |
منشور في: |
2016
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/65915 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Towards concolic testing for hybrid systems
بواسطة: KONG, Pingfan, وآخرون
منشور في: (2016) -
A designer support framework for specification comprehensibility in automata-based discrete-event control design
بواسطة: Amrith Dhananjayan
منشور في: (2013) -
Modeling and verification of safety critical systems : a case study on pacemaker
بواسطة: Koo, Sheng Kiat
منشور في: (2014) -
Graphical models and variational Bayesian inference for financial networks
بواسطة: Xin, Luyin
منشور في: (2019) -
Study on probability or number theory
بواسطة: Zhuang, Yugui
منشور في: (2023)