Publications

14 / 422 publications found.


  •  Chakrabarty, A., Vanfretti, L., Wang, Y., Mineyuki, T., Zhan, S., Tang, W.-T., Paulson, J.A., Deshpande, V.M., Bortoff, S.A., Laughman, C.R., "Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation", Building Simulation, April 2025.
    BibTeX
    • @article{Chakrabarty2025apr,
    • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Wang, Ye and Mineyuki, Takuma and Zhan, Sicheng and Tang, Wei-Ting and Paulson, Joel A. and Deshpande, Vedang M. and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {{Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation}},
    • journal = {Building Simulation},
    • year = 2025,
    • month = apr
    • }
  •  Shao, K., Chakrabarty, A., Mesbah, A., Romeres, D., "Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine", IEEE Control Systems Letters, February 2025.
    BibTeX
    • @article{Shao2025feb,
    • author = {Shao, Ketong and Chakrabarty, Ankush and Mesbah, Ali and Romeres, Diego},
    • title = {{Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine}},
    • journal = {IEEE Control Systems Letters},
    • year = 2025,
    • month = feb
    • }
  •  Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Christopher R., , Azizan, N., Laughman, C.A., "Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX External
    • @inproceedings{Park2024dec,
    • author = {Park, Young-Jin and Germain, François G and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Wichern, Gordon and Christopher R. and Azizan, Navid and Laughman, Chakrabarty, Ankush},
    • title = {{Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://openreview.net/pdf?id=g6EljYyrOA}
    • }
  •  Tang, W.-T., Chakrabarty, A., Paulson, J.A., "TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX External
    • @inproceedings{Tang2024dec,
    • author = {Tang, Wei-Ting and Chakrabarty, Ankush and Paulson, Joel A.},
    • title = {{TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://openreview.net/pdf?id=9Xo6ONB8E3}
    • }
  •  Sorouifar, F., Paulson, J.A., Wang, Y., Quirynen, R., Laughman, C.R., Chakrabarty, A., "Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA60707.2024.10666537, August 2024.
    BibTeX
    • @inproceedings{Sorouifar2024aug,
    • author = {Sorouifar, Farshud and Paulson, Joel A. and Wang, Ye and Quirynen, Rien and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems}},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CCTA60707.2024.10666537}
    • }
  •  Vinod, A.P., Yamazaki, S., Chakrabarty, A., Yoshikawa, N., Di Cairano, S., "Aircraft Approach Management using Reachability and Dynamic Programming", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644902, June 2024, pp. 318-324.
    BibTeX
    • @inproceedings{Vinod2024jun,
    • author = {Vinod, Abraham P. and Yamazaki, Sachiyo and Chakrabarty, Ankush and Yoshikawa, Nobuyuki and {Di Cairano}, Stefano},
    • title = {{Aircraft Approach Management using Reachability and Dynamic Programming}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2024,
    • pages = {318--324},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ACC60939.2024.10644902}
    • }
  •  Paulson, J.A., Sorouifar, F., Laughman, C.R., Chakrabarty, A., "LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems", American Control Conference (ACC), DOI: 10.23919/​ACC55779.2023.10155821, May 2023.
    BibTeX External
    • @inproceedings{Paulson2023may,
    • author = {Paulson, Joel A. and Sorouifar, Farshud and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2023,
    • month = may,
    • doi = {10.23919/ACC55779.2023.10155821},
    • url = {https://ieeexplore.ieee.org/document/10155821}
    • }
  •  Danielson, C., Bortoff, S.A., Chakrabarty, A., "Extremum Seeking Control with an Adaptive Gain Based On Gradient Estimation Error", IEEE Transactions on Systems Man and Cybernetics: Systems, DOI: 10.1109/​TSMC.2022.3171132, May 2022.
    BibTeX
    • @article{Danielson2022may,
    • author = {Danielson, Claus and Bortoff, Scott A. and Chakrabarty, Ankush},
    • title = {{Extremum Seeking Control with an Adaptive Gain Based On Gradient Estimation Error}},
    • journal = {IEEE Transactions on Systems Man and Cybernetics: Systems},
    • year = 2022,
    • month = may,
    • doi = {10.1109/TSMC.2022.3171132}
    • }
  •  Ma, Y., Guo, J., Wang, Y., Chakrabarty, A., Ahn, H., Orlik, P.V., Guan, X., Lu, C., "Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, DOI: 10.1109/​TCST.2022.3141581, May 2022.
    BibTeX
    • @article{Ma2022may,
    • author = {Ma, Yehan and Guo, Jianlin and Wang, Yebin and Chakrabarty, Ankush and Ahn, Heejin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
    • title = {{Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems}},
    • journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY},
    • year = 2022,
    • month = may,
    • doi = {10.1109/TCST.2022.3141581}
    • }
  •  Chakrabarty, A., Danielson, C., Bortoff, S.A., Laughman, C.R., "Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation", Applied Thermal Engineering, DOI: 10.1016/​j.applthermaleng.2021.117335, Vol. 197, pp. 117335, February 2022.
    BibTeX ScienceDirect
    • @article{Chakrabarty2022feb,
    • author = {Chakrabarty, Ankush and Danielson, Claus and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {{Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation}},
    • journal = {Applied Thermal Engineering},
    • year = 2022,
    • volume = 197,
    • pages = 117335,
    • month = feb,
    • doi = {10.1016/j.applthermaleng.2021.117335},
    • url = {https://www.sciencedirect.com/science/article/abs/pii/S1359431121007705}
    • }
  •  Jeon, W., Chakrabarty, A., Zemouche, A., Rajamani, R., "Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications", IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/​TMECH.2021.3081035, Vol. 26, No. 4, pp. 1941-1950, January 2022.
    BibTeX IEEE Xplore
    • @article{Jeon2022jan,
    • author = {Jeon, Woongsun and Chakrabarty, Ankush and Zemouche, Ali and Rajamani, Rajesh},
    • title = {{Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications}},
    • journal = {IEEE/ASME Transactions on Mechatronics},
    • year = 2022,
    • volume = 26,
    • number = 4,
    • pages = {1941--1950},
    • month = jan,
    • doi = {10.1109/TMECH.2021.3081035},
    • url = {https://ieeexplore.ieee.org/document/9432768}
    • }
  •  Srinivasan, M., Chakrabarty, A., Quirynen, R., yoshikawa, N., Mariyama, T., Di Cairano, S., "Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.237, October 2021, pp. 598-604.
    BibTeX External
    • @inproceedings{Srinivasan2021oct,
    • author = {Srinivasan, Mohit and Chakrabarty, Ankush and Quirynen, Rien and yoshikawa, nobuyuki and Mariyama, Toshisada and {Di Cairano}, Stefano},
    • title = {{Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs}},
    • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
    • year = 2021,
    • pages = {598--604},
    • month = oct,
    • doi = {10.1016/j.ifacol.2021.11.237},
    • url = {https://www.sciencedirect.com/science/article/pii/S2405896321022813}
    • }
  •  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
    • @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}
    • }
  •  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
    • @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}
    • }