Modeling and Verification Methods for Spatio-Temporal Consistency of CPS in Uncertain Environments

S Pan, C Wang, W Xie, J Lu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
When cyber-physical systems (CPSs) are operational, its computing units frequently interact
with complex and uncertain physical environments in time and space. To ensure the safety …

Anytime guarantees for reachability in uncountable markov decision processes

K Grover, J Křetínský, T Meggendorfer… - arXiv preprint arXiv …, 2020 - arxiv.org
We consider the problem of approximating the reachability probabilities in Markov decision
processes (MDP) with uncountable (continuous) state and action spaces. While there are …

Counterexample guided abstraction refinement for polyhedral probabilistic hybrid systems

R Lal, P Prabhakar - ACM Transactions on Embedded Computing …, 2019 - dl.acm.org
We consider the problem of safety analysis of probabilistic hybrid systems, which capture
discrete, continuous and probabilistic behaviors. We present a novel counterexample …

A stochastic approximation method for probability prediction of docking success for aerial refueling

Y Liu, Z Zhao, H Ma, Q Quan - Applied Soft Computing, 2021 - Elsevier
Aerial refueling is capable of increasing the endurance and flight range of aircraft. However,
during the docking phase of aerial refueling, the docking risk increases as the receiver …

[图书][B] Scalable safety verification of stochastic hybrid systems

R Lal - 2021 - search.proquest.com
Stochastic hybrid systems consist of software-controlled physical processes, where
uncertainties manifest due to either disturbance in the environment in which the physical …

Safety analysis of linear discrete-time stochastic systems: Work-in-progress

R Lal, P Prabhakar - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
We study the problem of safety verification of linear discrete-time stochastic systems (linear
DTSS) over bounded and unbounded time horizons. Linear DTSS capture random …