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Data-Driven Covariance Steering with Output Feedback
This paper addresses output-feedback covariance steering for stochastic discrete-time linear time-invariant systems with unknown dynamics. We construct a controllable non-minimal state representation from past inputs and outputs, allowing the problem to be formulated in a standard state-feedback set
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