Optimal Bounds for Reduced-Order Approximations of Infinite Horizon Control Problems Using Time Derivatives

This paper presents a novel approach to reduce the computational cost of solving infinite horizon optimal control problems by using a Proper Orthogonal Decomposition (POD) method based on time derivatives, leading to improved error bounds and practical efficiency.