Author

L. Wang

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Preprint Sep 2026

Inverse Optimal Control with Convex Features and Box Constraints

We study an inverse optimal-control problem for identifying nonnegative weights in a convex-feature lower-level objective. The resulting model is an optimistic bilevel optimal-control problem whose lower level is a strongly convex, linearly constrained control problem with box constraints in \(L^2\). For the reduced re...

Ji-Guang Yu, L. Wang · 0 citations

Preprint Aug 2026

From Flows to Maps: Sampling Laws for Attractor Intensity and Bounded-Noise Escape

Intensity of attraction quantifies the largest amplitude of a persistent bounded disturbance that an attractor can withstand without loss of controlled confinement in its basin. Although intensity has been formulated separately for flows and maps, its behavior under temporal sampling has remained unresolved. We establi...

Ji-Guang Yu, L. Wang · 0 citations