Event-triggered Learning for Linear Quadratic Control

  title={Event-triggered Learning for Linear Quadratic Control},
  author={Henning Schl{\"u}ter and Friedrich Solowjow and Sebastian Trimpe},
  • Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe
  • Published 2019
  • Computer Science, Engineering
  • ArXiv
  • When models are inaccurate, performance of model-based control will degrade. For linear quadratic control, an event-triggered learning framework is proposed that automatically detects inaccurate models and triggers learning of a new process model when needed. This is achieved by analyzing the probability distribution of the linear quadratic cost and designing a learning trigger that leverages Chernoff bounds. In particular, whenever empirically observed cost signals are located outside the… CONTINUE READING
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