Training Classifiers For Feedback Control

@article{Poonawala2019TrainingCF,
  title={Training Classifiers For Feedback Control},
  author={Hasan A. Poonawala and Niklas T. Lauffer and Ufuk Topcu},
  journal={2019 American Control Conference (ACC)},
  year={2019},
  pages={4961-4967}
}
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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Training classifiers for feedback control with safety in mind
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