NEWS    Ankush Chakrabarty gave an invited talk at University of Illinois at Chicago

Date released: April 9, 2021

  •  NEWS    Ankush Chakrabarty gave an invited talk at University of Illinois at Chicago
  • Date:

    April 9, 2021

  • Description:

    Ankush Chakrabarty, a Research Scientist at MERL's Multiphysical Systems (MS) Team, gave an invited talk on "Learning for Control and Estimation using Digital Twins" at the Department of Electrical and Computer Engineering Seminar Series organized at UIC. The talk proposed new learning-based control/estimation architectures that can utilize simulation data obtained from digital twins to add self-optimization and constraint-enforcement features to grey/black-box control systems.

  • External Link:

    https://ece.uic.edu/events/learning-for-estimation-and-control-using-digital-twins/

  • MERL Contact:
  • Research Areas:

    Control, Machine Learning, Multi-Physical Modeling, Optimization

    •  Chakrabarty, A., Berntorp, K., Di Cairano, S., "Learning-based Parameter-Adaptive Reference Governors", American Control Conference (ACC), DOI: 10.23919/​ACC45564.2020.9147615, July 2020, pp. 956-961.
      BibTeX TR2020-092 PDF
      • @inproceedings{Chakrabarty2020jul,
      • author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Learning-based Parameter-Adaptive Reference Governors},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • pages = {956--961},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC45564.2020.9147615},
      • url = {https://www.merl.com/publications/TR2020-092}
      • }