Publications

9 / 3,271 publications found.


  •  Pervej, M.F., Guo, J., Kim, K.J., Parsons, K., Orlik, P.V., Di Cairano, S., Menner, M., Berntorp, K., Nagai, Y., Dai, H., "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles", arXiv, May 2022.
    BibTeX arXiv
    • @article{Pervej2022apr,
    • author = {Pervej, Md Ferdous and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Di Cairano, Stefano and Menner, Marcel and Berntorp, Karl and Nagai, Yukimasa and Dai, Huaiyu},
    • title = {Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles},
    • journal = {arXiv},
    • year = 2022,
    • month = may,
    • url = {https://arxiv.org/abs/2205.09529}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning", arXiv, January 2022.
    BibTeX arXiv
    • @article{Fujihashi2022jan2,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning},
    • journal = {arXiv},
    • year = 2022,
    • month = jan,
    • url = {https://arxiv.org/abs/2201.04557}
    • }
  •  Zeng, T., Guo, J., Kim, K.J., Parsons, K., Orlik, P.V., Di Cairano, S., Saad, W., "Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning", IEEE Intelligent Vehicles Symposium, July 2021.
    BibTeX TR2021-083 PDF Video
    • @inproceedings{Zeng2021jul,
    • author = {Zeng, Tengchan and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Di Cairano, Stefano and Saad, Walid},
    • title = {Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning},
    • booktitle = {IEEE Intelligent Vehicles Symposium},
    • year = 2021,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2021-083}
    • }
  •  Berntorp, K., "Online Bayesian Tire-Friction Learning by Gaussian-Process State-Space Models", World Congress of the International Federation of Automatic Control (IFAC), Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, Eds., DOI: 10.1016/​j.ifacol.2020.12.910, July 2020, pp. 13939-13944.
    BibTeX TR2020-104 PDF
    • @inproceedings{Berntorp2020jul,
    • author = {Berntorp, Karl},
    • title = {Online Bayesian Tire-Friction Learning by Gaussian-Process State-Space Models},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2020,
    • editor = {Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann},
    • pages = {13939--13944},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2020.12.910},
    • url = {https://www.merl.com/publications/TR2020-104}
    • }
  •  Maske, H., Chu, T., Kalabic, U., "Control of traffic light timing using decentralized deep reinforcement learning", World Congress of the International Federation of Automatic Control (IFAC), Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, Eds., DOI: 10.1016/​j.ifacol.2020.12.1980, July 2020, pp. 14936-14941.
    BibTeX TR2020-101 PDF
    • @inproceedings{Maske2020jul,
    • author = {Maske, Harshal and Chu, Tianshu and Kalabic, Uros},
    • title = {Control of traffic light timing using decentralized deep reinforcement learning},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2020,
    • editor = {Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann},
    • pages = {14936--14941},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2020.12.1980},
    • url = {https://www.merl.com/publications/TR2020-101}
    • }
  •  Benosman, M., Chakrabarty, A., Borggaard, J., "Reinforcement Learning-based Model Reduction for Partial Differential Equations", World Congress of the International Federation of Automatic Control (IFAC), Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, Eds., DOI: 10.1016/​j.ifacol.2020.12.1515, June 2020, pp. 7704-7709.
    BibTeX TR2020-076 PDF
    • @inproceedings{Benosman2020jun,
    • author = {Benosman, Mouhacine and Chakrabarty, Ankush and Borggaard, Jeff},
    • title = {Reinforcement Learning-based Model Reduction for Partial Differential Equations},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2020,
    • editor = {Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann},
    • pages = {7704--7709},
    • month = jun,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2020.12.1515},
    • url = {https://www.merl.com/publications/TR2020-076}
    • }
  •  Berntorp, K., Di Cairano, S., "Particle Gibbs with Ancestor Sampling for Identification of Tire-Friction Parameters", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/​j.ifacol.2017.08.2585, July 2017, vol. 50, pp. 14849-14854.
    BibTeX TR2017-093 PDF
    • @inproceedings{Berntorp2017jul,
    • author = {Berntorp, Karl and Di Cairano, Stefano},
    • title = {Particle Gibbs with Ancestor Sampling for Identification of Tire-Friction Parameters},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2017,
    • volume = 50,
    • number = 1,
    • pages = {14849--14854},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2017.08.2585},
    • url = {https://www.merl.com/publications/TR2017-093}
    • }
  •  Klauco, M., Drgona, J., Kvasnica, M., Di Cairano, S., "Building Temperature Control by Simple MPC-like Feedback Laws Learned from Closed-Loop Data", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.3182/​20140824-6-ZA-1003.01633, August 2014, vol. 19, pp. 581-586.
    BibTeX TR2014-076 PDF
    • @inproceedings{Klauco2014aug,
    • author = {Klauco, M. and Drgona, J. and Kvasnica, M. and {Di Cairano}, S.},
    • title = {Building Temperature Control by Simple MPC-like Feedback Laws Learned from Closed-Loop Data},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2014,
    • volume = 19,
    • pages = {581--586},
    • month = aug,
    • doi = {10.3182/20140824-6-ZA-1003.01633},
    • url = {https://www.merl.com/publications/TR2014-076}
    • }
  •  Benosman, M., "Extremum Seeking-based Indirect Adaptive Control for Nonlinear Systems", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.3182/​20140824-6-ZA-1003.00708, August 2014, vol. 19, pp. 401-106.
    BibTeX TR2014-085 PDF
    • @inproceedings{Benosman2014aug1,
    • author = {Benosman, M.},
    • title = {Extremum Seeking-based Indirect Adaptive Control for Nonlinear Systems},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2014,
    • volume = 19,
    • pages = {401--106},
    • month = aug,
    • doi = {10.3182/20140824-6-ZA-1003.00708},
    • url = {https://www.merl.com/publications/TR2014-085}
    • }