The authors characterize the convex hulls of reachable sets as solutions of an ordinary differential equation, providing an efficient sampling-based estimation algorithm. This approach simplifies the estimation of reachable sets and has applications in neural feedback loop analysis and robust model predictive control.
Constrained polynomial logical zonotopes enhance reachability analysis in logical systems.