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Direct and Indirect Data-Driven Control with Prior Information about the Equilibrium Manifold
By hinging on the assumption that a system to be controlled is fully unknown, many data-driven control approaches do not leverage available or readily inferable priors. In contrast to this viewpoint, this paper analyzes the impact of using the system's equilibrium subspace to inform direct and indir
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