[HTML][HTML] Uncertainty in runtime verification: A survey
Runtime Verification can be defined as a collection of formal methods for studying the
dynamic evaluation of execution traces against formal specifications. Aside from creating a …
dynamic evaluation of execution traces against formal specifications. Aside from creating a …
Distributed model predictive control for probabilistic signal temporal logic specifications
T Yang, Y Zou, S Li, Y Yang - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
This paper proposes a distributed model predictive control (DMPC) for a class of discrete-
time stochastic multi-agent systems subject to partially coupled temporal logic tasks. For …
time stochastic multi-agent systems subject to partially coupled temporal logic tasks. For …
STL robustness risk over discrete-time stochastic processes
L Lindemann, N Matni… - 2021 60th IEEE …, 2021 - ieeexplore.ieee.org
We present a framework to interpret signal temporal logic (STL) formulas over discrete-time
stochastic processes in terms of the induced risk. Each realization of a stochastic process …
stochastic processes in terms of the induced risk. Each realization of a stochastic process …
Risk of stochastic systems for temporal logic specifications
The wide availability of data coupled with the computational advances in artificial
intelligence and machine learning promise to enable many future technologies such as …
intelligence and machine learning promise to enable many future technologies such as …
Shield Synthesis for LTL Modulo Theories
In recent years, Machine Learning (ML) models have achieved remarkable success in
various domains. However, these models also tend to demonstrate unsafe behaviors …
various domains. However, these models also tend to demonstrate unsafe behaviors …
Online event recognition over noisy data streams
Composite event recognition (CER) systems process streams of sensor data and infer
composite events of interest by means of pattern matching. Data uncertainty is frequent in …
composite events of interest by means of pattern matching. Data uncertainty is frequent in …
Stochastic robustness interval for motion planning with signal temporal logic
In this work, we present a novel robustness measure for continuous-time stochastic
trajectories with respect to Signal Temporal Logic (STL) specifications. We show the …
trajectories with respect to Signal Temporal Logic (STL) specifications. We show the …
Model predictive robustness of signal temporal logic predicates
The robustness of signal temporal logic not only assesses whether a signal adheres to a
specification but also provides a measure of how much a formula is fulfilled or violated. The …
specification but also provides a measure of how much a formula is fulfilled or violated. The …
Runtime verification under access restrictions
We define a logical framework that permits runtime verification to take place when a monitor
has incomplete or uncertain information about the underlying trace. Uncertainty is modeled …
has incomplete or uncertain information about the underlying trace. Uncertainty is modeled …
Signal temporal logic synthesis as probabilistic inference
We reformulate the signal temporal logic (STL) synthesis problem as a maximum a-
posteriori (MAP) inference problem. To this end, we introduce the notion of random STL …
posteriori (MAP) inference problem. To this end, we introduce the notion of random STL …