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Found 3 papers, 2 papers with code
Neural State Classification for Hybrid Systems
We introduce the State Classification Problem (SCP) for hybrid systems, and present Neural State Classification (NSC) as an efficient solution technique.
How to Learn a Model Checker
We show how machine-learning techniques, particularly neural networks, offer a very effective and highly efficient solution to the approximate model-checking problem for continuous and hybrid systems, a solution where the general-purpose model checker is replaced by a model-specific classifier trained by sampling model trajectories.
A Component-Based Simplex Architecture for High-Assurance Cyber-Physical Systems
We present Component-Based Simplex Architecture (CBSA), a new framework for assuring the runtime safety of component-based cyber-physical systems (CPSs).
Systems and Control
