FAIL iteratively learns maximal state-control invariant sets from one-step failing state-input pairs for deterministic LTI systems with polytopic constraints, proving monotonic convergence to the true MSCI without dynamics knowledge.
Data-driven computation of minimal robust control invariant set,
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Failure-Aware Iterative Learning of State-Control Invariant Sets
FAIL iteratively learns maximal state-control invariant sets from one-step failing state-input pairs for deterministic LTI systems with polytopic constraints, proving monotonic convergence to the true MSCI without dynamics knowledge.