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.
Convex computation of the maximum controlled invariant set for polynomial control systems
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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.