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A Pragmatic Guide to Building Conservative Discrete Abstractions of Cyber-Physical Systems
US & West ·
The tutorial addresses common pitfalls in building discrete abstractions of cyber-physical systems for verification: under-approximating state space, transitions, unsound pruning of degenerate behaviors, and improper specification lifting. It offers a pragmatic workflow that guarantees conservativeness while balancing pessimism and tractability.
Why it matters
Ensuring abstraction soundness is necessary for verifying control system properties, which is important for modeling and analysis of large-scale systems.
The paper establishes deterministic feasibility guarantees for differentiable predictive control (DPC), a self-supervised approach for approximating explicit MPC policies. Through topological analysis of the induced reachable safe set, it shows DPC can guarantee feasibility without online safety filters.
A data-driven reachability analysis method computes over-approximations of reachable sets directly from online state measurements, without requiring an accurate dynamic model. It estimates time-varying unknown models using an exponentially forgetting zonotopic recursive least squares method that handles bounded noise.
The company Aktiv published the final document of a foresight session on the future of cyber-physical systems security in Russia. The document provides strategic recommendations and industry forecasts up to 2040.
