Specification Mining and Robust Design under Uncertainty

In this paper, we propose Stochastic Temporal Logic (StTL) as a formalism for expressing probabilistic specifications on time-varying behaviors of controlled stochastic dynamical systems. To make StTL a more effective specification formalism, we introduce the quantitative semantics for StTL to reason about the robust satisfaction of an StTL specification by a given system. Additionally, we propose using the robustness value as the objective function to be maximized by a stochastic optimization algorithm for the purpose of controller design. Finally, we formulate an algorithm for parameter inference for Parameteric-StTL specifications, which allows specifications to be mined from output traces of the underlying system. We demonstrate and validate our framework on two case studies inspired by the automotive domain.

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