Corpus ID: 221095533

Learning Event-triggered Control from Data through Joint Optimization

@article{Funk2020LearningEC,
  title={Learning Event-triggered Control from Data through Joint Optimization},
  author={N. Funk and Dominik Baumann and Vincent Berenz and Sebastian Trimpe},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.04712}
}
  • N. Funk, Dominik Baumann, +1 author Sebastian Trimpe
  • Published 2020
  • Engineering, Computer Science
  • ArXiv
  • We present a framework for model-free learning of event-triggered control strategies. Event-triggered methods aim to achieve high control performance while only closing the feedback loop when needed. This enables resource savings, e.g., network bandwidth if control commands are sent via communication networks, as in networked control systems. Event-triggered controllers consist of a communication policy, determining when to communicate, and a control policy, deciding what to communicate. It is… CONTINUE READING

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