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Ao Jin

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Jun 2026

Data-Driven Modeling and Control for Tethered Space Systems with Koopman-Informed Graphs

This work proposes the Koopman Graph Dynamics framework to learn the structural dynamics by integrating the global linear evolution of the Koopman operator with the local topological priors of Graph Neural Networks and develops a KGD based Model Predictive Control strategy for tethered space systems.

Ao Jin, Yifeng Ma, Panfeng Huang et al. · 0 citations