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Found 10 papers, 5 papers with code
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications
Evaluations show that even when using a state-of-the-art language model, there is significant room for improvement, with the best models achieving an F1 score of only 60. 5 and 33. 3 in the named-entity-recognition and dependency-link-prediction sub-tasks, respectively.
A Barrier Certificate-based Simplex Architecture with Application to Microgrids
Furthermore, BC-Simplex features a new automated method for deriving, from the barrier certificate, the conditions for switching between the controllers.
On The Verification of Neural ODEs with Stochastic Guarantees
We show that Neural ODEs, an emerging class of time-continuous neural networks, can be verified by solving a set of global-optimization problems.
Lagrangian Reachtubes: The Next Generation
Secondly, it computes the next reachset as the intersection of two balls: one based on the Cartesian metric and the other on the new metric.
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
Even though model predictive control (MPC) is currently the main algorithm for insulin control in the artificial pancreas (AP), it usually requires complex online optimizations, which are infeasible for resource-constrained medical devices.
Neural Simplex Architecture
NSA not only provides safety assurances in the presence of a possibly unsafe neural controller, but can also improve the safety of such a controller in an online setting via retraining, without overly degrading its performance.
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
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans
Inspired by Importance Splitting, the length of the horizon and the number of particles are chosen such that at least one particle reaches a next-level state, that is, a state where the cost decreases by a required delta from the previous-level state.
