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

Date released: December 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

    •  Chu, T., Kalabić, U., "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030110, December 2019, pp. 4079-4084.
      BibTeX TR2019-142 PDF
      • @inproceedings{Chu2019dec,
      • author = {Chu, Tianshu and Kalabić, Uroš},
      • title = {Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons},
      • booktitle = {Proc. IEEE Conference on Decision and Control},
      • year = 2019,
      • pages = {4079--4084},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9030110},
      • 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), DOI: 10.1109/CDC40024.2019.9029730, December 2019, pp. 2952-2957.
      BibTeX TR2019-143 PDF
      • @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,
      • pages = {2952--2957},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029730},
      • 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), DOI: 10.1109/CDC40024.2019.9029445, December 2019, pp. 5113-5118.
      BibTeX TR2019-144 PDF
      • @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,
      • pages = {5113--5118},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029445},
      • 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), DOI: 10.1109/CDC40024.2019.9029732, December 2019, pp. 6681-6686.
      BibTeX TR2019-145 PDF
      • @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,
      • pages = {6681--6686},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029732},
      • 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), DOI: 10.1109/CDC40024.2019.9030020, December 2019.
      BibTeX TR2019-146 PDF
      • @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,
      • doi = {10.1109/CDC40024.2019.9030020},
      • 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), DOI: 10.1109/CDC40024.2019.9029593, December 2019, pp. 2157-2162.
      BibTeX TR2019-147 PDF
      • @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,
      • pages = {2157--2162},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029593},
      • 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), DOI: 10.1109/CDC40024.2019.9029593, December 2019, pp. 2157-2162.
      BibTeX TR2019-147 PDF
      • @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,
      • pages = {2157--2162},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029593},
      • 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), DOI: 10.1109/CDC40024.2019.9029394, December 2019, pp. 2862-2867.
      BibTeX TR2019-149 PDF
      • @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,
      • pages = {2862--2867},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029394},
      • url = {https://www.merl.com/publications/TR2019-149}
      • }