AI & ML
Probabilistic Sequential Safety for Stochastic Dynamical Systems
arXiv eess.SY0 views
arXiv:2610.37311v1 Announce Type: new Abstract: In this letter, we investigate a notion of probabilistic safety for a stochastic dynamical system. Standard safety notions are based on the idea that an unsafe region of the state-space must be avoided at each instant. In contrast, we study a sequential safety notion which is based on avoiding a tuple of target regions of the state-space. The proposed safety notion is inspired by many practical systems, ranging from modeling jailbreak attacks in large language models (LLMs) to predicting hazardous chemical reactions. In solving the sequential safety problem, we solve a sequential reachability problem for a stochastic dynamical system.
Source:https://arxiv.org/abs/2610.37311PreviousA heuristic for optimal coordination of autonomous vehicles: dynamic problemsNextA New Parametric Uncertainty Approach to Systems with Time-Varying Delay and Feedback Stabilization
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