Training Classifiers For Feedback Control

  title={Training Classifiers For Feedback Control},
  author={Hasan A. Poonawala and Niklas T. Lauffer and Ufuk Topcu},
  journal={2019 American Control Conference (ACC)},
One approach for feedback control using high dimensional and rich sensor measurements is to classify the measurement into one out of a finite set of situations, each situation corresponding to a (known) control action. This approach computes a control action without estimating the state. Such classifiers are typically learned from a finite amount of data using supervised machine learning algorithms. We model the closed-loop system resulting from control with feedback from classifier outputs as… 

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