A Perspective on Deploying Reinforcement Learning to Augment Classic Control Design - MATLAB
Video Player is loading.
Current Time 0:00
Duration 15:53
Loaded: 0%
Stream Type LIVE
Remaining Time 15:53
 
1x
  • Chapters
  • descriptions off, selected
  • captions off, selected
  • en (Main), selected
    Video length is 15:53

    A Perspective on Deploying Reinforcement Learning to Augment Classic Control Design

    Ali Borhan, Cummins

    With the advancement in machine learning, access to data with V2X connectivity, and more reliable plant model simulation, reinforcement learning has been considered recently as a control design option for the feedback control of automotive systems. In this talk, the challenges of applying classic control methods with focus on PID structure are briefly discussed and a perspective to deploy reinforcement learning to address some of these challenges is presented.

    Published: 16 Nov 2020