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Award ID contains: 2008957

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  1. Free, publicly-accessible full text available December 20, 2026
  2. Free, publicly-accessible full text available December 15, 2026
  3. In this article, we consider the problem of reachable set computation of a closed-loop system with anytime sensor and a neural network controller. We provide a star set data structure-based forward propagation algorithm that uses existing efficient operations on star-sets and a novel convex hull construction. We present rigorous analysis of the space-complexity of the star sets generated during the propagation. Our experimental results show significant improvement with respect to existing methods that use vertex-based representation of polyhedral sets for propagation through closed-loop systems with anytime sensing, as well as the feasibility of the approach on different types of dynamics, control and sensors. 
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    Free, publicly-accessible full text available November 30, 2026
  4. null (Ed.)