NEWS  |  MERL researchers presented 8 papers at Conference on Decision and Control (CDC)

Date released: Dec 11, 2019


  •  NEWS   MERL researchers presented 8 papers at Conference on Decision and Control (CDC)
  • Date:

    December 11, 2019 - December 13, 2019

  • Description:

    At the Conference on Decision and Control, MERL presented 8 papers on subjects including estimation for thermal-fluid models and transportation networks, analysis of HVAC systems, extremum seeking for multi-agent systems, reinforcement learning for vehicle platoons, and learning with applications to autonomous vehicles.

  • Where:

    Nice, France

  • MERL Contacts:
  • Research Areas:

    Control, Machine Learning, Optimization

  • Related Publications:
  •  Chu, T., Kalabić, U., "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-142
    • @inproceedings{Chu2019dec,
    • author = {Chu, Tianshu and Kalabić, Uroš},
    • title = {Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-142}
    • }
  •  Garcia, J., Danielson, C., Limon, D., Bortoff, S.A., Di Cairano, S., "Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-143
    • @inproceedings{Garcia2019dec,
    • author = {Garcia, Joaquin and Danielson, Claus and Limon, Daniel and Bortoff, Scott A. and Di Cairano, Stefano},
    • title = {Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-143}
    • }
  •  Wollenstein, S., Sun, C., Zhang, J., Paschalidis, I., "Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-144
    • @inproceedings{Wollenstein2019dec,
    • author = {Wollenstein, Salomón and Sun, Chuangchuang and Zhang, Jing and Paschalidis, Ioannis},
    • title = {Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-144}
    • }
  •  Berntorp, K., Hiroaki, K., "Bayesian Learning of Tire Friction with Automotive-Grade Sensors by Gaussian-Process State-Space Models", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-145
    • @inproceedings{Berntorp2019dec,
    • author = {Berntorp, Karl and Hiroaki, Kitano},
    • title = {Bayesian Learning of Tire Friction with Automotive-Grade Sensors by Gaussian-Process State-Space Models},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-145}
    • }
  •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Human-Adaptive Motion Planning", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-146
    • @inproceedings{Menner2019dec,
    • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Inverse Learning for Human-Adaptive Motion Planning},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-146}
    • }
  •  Benosman, M., Borggaard, J., "Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-147
    • @inproceedings{Benosman2019dec,
    • author = {Benosman, Mouhacine and Borggaard, Jeff},
    • title = {Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-147}
    • }
  •  Benosman, M., Borggaard, J., "Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-147
    • @inproceedings{Benosman2019dec,
    • author = {Benosman, Mouhacine and Borggaard, Jeff},
    • title = {Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-147}
    • }
  •  Chakrabarty, A., Zemouche, A., Rajamani, R., Benosman, M., "Robust Data-Driven Neuro-Adaptive Observers With Lipschitz Activation Functions", IEEE Conference on Decision and Control (CDC), December 2019.
    BibTeX Download PDFAbout TR2019-149
    • @inproceedings{Chakrabarty2019dec,
    • author = {Chakrabarty, Ankush and Zemouche, Ali and Rajamani, Rajesh and Benosman, Mouhacine},
    • title = {Robust Data-Driven Neuro-Adaptive Observers With Lipschitz Activation Functions},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2019,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2019-149}
    • }