Papers accepted at IFAC 2020 World Congress

Four of our papers were accepted for presentation at the 2020 IFAC World Congress.

  • [1] Modern Machine Learning Tools for Monitoring and Control A Survey
  • [2] Deep Neural Network Approximation of Nonlinear Model Predictive Control
  • [3] Reinforcement Learning based Design of Linear Fixed Structure Controllers
  • [4] Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

We are also organizing a tutorial on data analytics.

DAIS Lab News