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Gao-Sheng Zhu

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Preprint Aug 2026

Data-Driven optimal control via Koopman operators and Hamilton-Jacobi-Bellman equations

This paper presents a data-driven stable manifold (DD-SM) method, which integrates Koopman operator representation learning with the geometric stable manifold approach to Hamilton-Jacobi-Bellman (HJB) equations, enabling end-to-end optimal feedback control synthesis from raw trajectory data without prior knowledge of s...

Guuyuan Chen, Gao-Sheng Zhu · 0 citations

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