Hamilton-jacobi reachability: A brief overview and recent advances
Hamilton-Jacobi (HJ) reachability analysis is an important formal verification method for
guaranteeing performance and safety properties of dynamical systems; it has been applied …
guaranteeing performance and safety properties of dynamical systems; it has been applied …
Hamilton–jacobi reachability: Some recent theoretical advances and applications in unmanned airspace management
Autonomous systems are becoming pervasive in everyday life, and many of these systems
are complex and safety-critical. Formal verification is important for providing performance …
are complex and safety-critical. Formal verification is important for providing performance …
Deepreach: A deep learning approach to high-dimensional reachability
Hamilton-Jacobi (HJ) reachability analysis is an important formal verification method for
guaranteeing performance and safety properties of dynamical control systems. Its …
guaranteeing performance and safety properties of dynamical control systems. Its …
Reachnn: Reachability analysis of neural-network controlled systems
Applying neural networks as controllers in dynamical systems has shown great promises.
However, it is critical yet challenging to verify the safety of such control systems with neural …
However, it is critical yet challenging to verify the safety of such control systems with neural …
Decomposition of reachable sets and tubes for a class of nonlinear systems
M Chen, SL Herbert, MS Vashishtha… - … on Automatic Control, 2018 - ieeexplore.ieee.org
Reachability analysis provides formal guarantees for performance and safety properties of
nonlinear control systems. Here, one aims to compute the backward reachable set (BRS) or …
nonlinear control systems. Here, one aims to compute the backward reachable set (BRS) or …
nnenum: Verification of relu neural networks with optimized abstraction refinement
S Bak - NASA formal methods symposium, 2021 - Springer
The surge of interest in applications of deep neural networks has led to a surge of interest in
verification methods for such architectures. In summer 2020, the first international …
verification methods for such architectures. In summer 2020, the first international …
Polar: A polynomial arithmetic framework for verifying neural-network controlled systems
We present POLAR (The source code can be found at https://github. com/ChaoHuang2018/
POLAR_Tool. The full version of this paper can be found at https://arxiv …
POLAR_Tool. The full version of this paper can be found at https://arxiv …
Effective hybrid system falsification using Monte Carlo tree search guided by QB-robustness
Hybrid system falsification is an important quality assurance method for cyber-physical
systems with the advantage of scalability and feasibility in practice than exhaustive …
systems with the advantage of scalability and feasibility in practice than exhaustive …
Two-layered falsification of hybrid systems guided by monte carlo tree search
Few real-world hybrid systems are amenable to formal verification, due to their complexity
and black box components. Optimization-based falsification—a methodology of search …
and black box components. Optimization-based falsification—a methodology of search …
Safety verification and control for collision avoidance at road intersections
H Ahn, D Del Vecchio - IEEE Transactions on Automatic …, 2017 - ieeexplore.ieee.org
This paper presents a supervisory algorithm that prevents side collisions among vehicles at
an intersection by taking control of vehicles when necessary. Based on the vehicles' current …
an intersection by taking control of vehicles when necessary. Based on the vehicles' current …