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Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Sets
With little knowledge of the plant model and a small data set, the dissipativity constrained learned controller achieves closed loop stability and successfully mimics the behavior of the expert controller, while other methods often fail to maintain stability and achieve good performance.
Dissipative Imitation Learning for Robust Dynamic Output Feedback
Robust imitation learning seeks to mimic expert controller behavior while ensuring stability, but current methods require accurate plant models.
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