Search Results for author: Rudi Coppola

Found 3 papers, 0 papers with code

Data-driven Interval MDP for Robust Control Synthesis

no code implementations12 Apr 2024 Rudi Coppola, Andrea Peruffo, Licio Romao, Alessandro Abate, Manuel Mazo Jr

The abstraction of dynamical systems is a powerful tool that enables the design of feedback controllers using a correct-by-design framework.

Data-Driven Abstractions for Control Systems

no code implementations16 Feb 2024 Rudi Coppola, Andrea Peruffo, Manuel Mazo Jr

At the intersection of dynamical systems, control theory, and formal methods lies the construction of symbolic abstractions: these typically represent simpler, finite-state models whose behaviour mimics the one of an underlying concrete system but are easier to analyse.

Data-driven Abstractions for Verification of Deterministic Systems

no code implementations3 Nov 2022 Rudi Coppola, Andrea Peruffo, Manuel Mazo Jr

A common technique to verify complex logic specifications for dynamical systems is the construction of symbolic abstractions: simpler, finite-state models whose behaviour mimics the one of the systems of interest.

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