ProbReach: Verified Probabilistic Delta-Reachability for Stochastic Hybrid Systems
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Abstract (arXiv)
We present ProbReach, a tool for verifying probabilistic reachability for stochastic hybrid systems, i.e., computing the probability that the system reaches an unsafe region of the state space. In particular, ProbReach will compute an arbitrarily small interval which is guaranteed to contain the required probability. Standard (non-probabilistic) reachability is undecidable even for linear hybrid systems. In ProbReach we adopt the weaker notion of delta-reachability, in which the unsafe region is overapproximated by a user-defined parameter (delta). This choice leads to false alarms, but also makes the reachability problem decidable for virtually any hybrid system. In ProbReach we have implemented a probabilistic version of delta-reachability that is suited for hybrid systems whose stochastic behaviour is given in terms of random initial conditions. In this paper we introduce the capabilities of ProbReach, give an overview of the parallel implementation, and present results for several benchmarks involving highly non-linear hybrid systems.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Oct 2014.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 3.
7 papers.
- 2023Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractionscited by 16
- 2021Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noisecited by 13
- 2021GoTube: Scalable Stochastic Verification of Continuous-Depth Modelscited by 12
- 2022Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertaintycited by 11
- 2022SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methodscited by 1
- 2023Robustness Analysis of Continuous-Depth Models with Lagrangian Techniquescited by 0
- 2023Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractionscited by 0
- 2023Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions16 Nov 2023
- 2023Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques23 Aug 2023
- 2023Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions4 Jan 2023
- 2022Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty12 Oct 2022
- 2022SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods12 Mar 2022
- 2021Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise25 Oct 2021
- 2021GoTube: Scalable Stochastic Verification of Continuous-Depth Models18 Jul 2021