Publications

56 / 3,592 publications found.


  •  Shao, K., Romeres, D., Chakrabarty, A., Mesbah, A., "Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine", Advances in Neural Information Processing Systems (NeurIPS), December 2023.
    BibTeX TR2023-146 PDF
    • @inproceedings{Shao2023dec,
    • author = {Shao, Ketong and Romeres, Diego and Chakrabarty, Ankush and Mesbah, Ali},
    • title = {Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2023,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2023-146}
    • }
  •  Deshpande, V.M., Chakrabarty, A., Vinod, A.P., Laughman, C.R., "Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States", IEEE Control Systems Letters, DOI: 10.1109/​LCSYS.2023.3334959, November 2023.
    BibTeX TR2023-138 PDF
    • @article{Deshpande2023nov,
    • author = {Deshpande, Vedang M. and Chakrabarty, Ankush and Vinod, Abraham P. and Laughman, Christopher R.},
    • title = {Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States},
    • journal = {IEEE Control Systems Letters},
    • year = 2023,
    • month = nov,
    • doi = {10.1109/LCSYS.2023.3334959},
    • url = {https://www.merl.com/publications/TR2023-138}
    • }
  •  Safaoui, S., Vinod, A.P., Chakrabarty, A., Quirynen, R., Yoshikawa, N., Di Cairano, S., "Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning", arXiv, October 2023.
    BibTeX arXiv
    • @article{Safaoui2023oct,
    • author = {Safaoui, Sleiman and Vinod, Abraham P. and Chakrabarty, Ankush and Quirynen, Rien and Yoshikawa, Nobuyuki and Di Cairano, Stefano},
    • title = {Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning},
    • journal = {arXiv},
    • year = 2023,
    • month = oct,
    • url = {https://arxiv.org/abs/2311.00063}
    • }
  •  Paulson, J.A., Sorouifar, F., Laughman, C.R., Chakrabarty, A., "Self-optimizing vapor compression cycles online with Bayesian optimization under local search region constraints", ASME Journal of Dynamic Systems, Measurements, and Control, DOI: 10.1115/​1.4064027, September 2023.
    BibTeX TR2023-122 PDF
    • @article{Paulson2023sep,
    • author = {Paulson, Joel A. and Sorouifar, Farshud and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Self-optimizing vapor compression cycles online with Bayesian optimization under local search region constraints},
    • journal = {ASME Journal of Dynamic Systems, Measurements, and Control},
    • year = 2023,
    • month = sep,
    • doi = {10.1115/1.4064027},
    • url = {https://www.merl.com/publications/TR2023-122}
    • }
  •  Zhan, S., Chakrabarty, A., Laughman, C.R., Chong, A., "A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models", 18th IBPSA International Conference and Exhibition Building Simulation, DOI: 10.26868/​25222708.2023.1482, September 2023.
    BibTeX TR2023-114 PDF
    • @inproceedings{Zhan2023sep,
    • author = {Zhan, Sicheng and Chakrabarty, Ankush and Laughman, Christopher R. and Chong, Adrian},
    • title = {A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models},
    • booktitle = {18th IBPSA International Conference and Exhibition Building Simulation},
    • year = 2023,
    • month = sep,
    • doi = {10.26868/25222708.2023.1482},
    • url = {https://www.merl.com/publications/TR2023-114}
    • }
  •  Laughman, C.R., Deshpande, V.M., Qiao, H., Bortoff, S.A., Chakrabarty, A., "Digital Twins for Vapor Compression Cycles: Challenges & Opportunities", International Congress of Refrigeration (ICR), DOI: 10.18462/​iir.icr.2023.0765, August 2023.
    BibTeX TR2023-103 PDF
    • @inproceedings{Laughman2023aug,
    • author = {Laughman, Christopher R. and Deshpande, Vedang M. and Qiao, Hongtao and Bortoff, Scott A. and Chakrabarty, Ankush},
    • title = {Digital Twins for Vapor Compression Cycles: Challenges & Opportunities},
    • booktitle = {International Congress of Refrigeration (ICR)},
    • year = 2023,
    • month = aug,
    • publisher = {INTERNATIONAL INSTITUTE OF REFRIGERATION},
    • doi = {10.18462/iir.icr.2023.0765},
    • issn = {0151-1637},
    • isbn = {978-2-36215-055-5},
    • url = {https://www.merl.com/publications/TR2023-103}
    • }
  •  Chakrabarty, A., Vinod, A.P., Mansour, H., Bortoff, S.A., Laughman, C.R., "Moving Horizon Estimation for Digital Twins using Deep Autoencoders", World Congress of the International Federation of Automatic Control (IFAC), Ishii, H. and Ebihara, Y. and Imura, J. and Yamakita, M., Eds., DOI: 10.1016/​j.ifacol.2023.10.207, July 2023, pp. 5500-5505.
    BibTeX TR2023-088 PDF
    • @inproceedings{Chakrabarty2023jul2,
    • author = {Chakrabarty, Ankush and Vinod, Abraham P. and Mansour, Hassan and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Moving Horizon Estimation for Digital Twins using Deep Autoencoders},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2023,
    • editor = {Ishii, H. and Ebihara, Y. and Imura, J. and Yamakita, M.},
    • pages = {5500--5505},
    • month = jul,
    • publisher = {Elseiver},
    • doi = {10.1016/j.ifacol.2023.10.207},
    • url = {https://www.merl.com/publications/TR2023-088}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "Meta-Learning of Neural State-Space Models Using Data From Similar Systems", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/​j.ifacol.2023.10.1843, July 2023.
    BibTeX TR2023-087 PDF
    • @inproceedings{Chakrabarty2023jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {Meta-Learning of Neural State-Space Models Using Data From Similar Systems},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2023,
    • month = jul,
    • doi = {10.1016/j.ifacol.2023.10.1843},
    • url = {https://www.merl.com/publications/TR2023-087}
    • }
  •  Salatiello, A., Wang, Y., Wichern, G., Koike-Akino, T., Yoshihiro, O., Kaneko, Y., Laughman, C.R., Chakrabarty, A., "Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?", ACM e-Energy Conference, DOI: 10.1145/​3599733.3600260, June 2023.
    BibTeX TR2023-072 PDF
    • @inproceedings{Salatiello2023jun,
    • author = {Salatiello, Alessandro and Wang, Ye and Wichern, Gordon and Koike-Akino, Toshiaki and Yoshihiro, Ohta and Kaneko, Yosuke and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?},
    • booktitle = {ACM e-Energy Conference},
    • year = 2023,
    • month = jun,
    • doi = {10.1145/3599733.3600260},
    • url = {https://www.merl.com/publications/TR2023-072}
    • }
  •  Chinchilla, R., Deshpande, V.M., Chakrabarty, A., Laughman, C.R., "Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles", American Control Conference (ACC), DOI: 10.23919/​ACC55779.2023.10155954, May 2023, pp. 4069-4076.
    BibTeX TR2023-051 PDF
    • @inproceedings{Chinchilla2023may,
    • author = {Chinchilla, Raphael and Deshpande, Vedang M. and Chakrabarty, Ankush and Laughman, Christopher R.},
    • title = {Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles},
    • booktitle = {American Control Conference (ACC)},
    • year = 2023,
    • pages = {4069--4076},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.23919/ACC55779.2023.10155954},
    • issn = {2378-5861},
    • isbn = {978-1-6654-6952-4},
    • url = {https://www.merl.com/publications/TR2023-051}
    • }
  •  Ngheim, T.X., Drgona, J., Jones, C., Nagy, Z., Schwan, R., Dey, B., Chakrabarty, A., Di Cairano, S., Paulson, J.A., Carron, A., Zeilinger, M., Cortez, W.S., Vrabie, D.L., "Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems", American Control Conference (ACC), DOI: 10.23919/​ACC55779.2023.10155901, May 2023.
    BibTeX TR2023-052 PDF
    • @inproceedings{Ngheim2023may,
    • author = {Ngheim, Truong X. and Drgona, Jan and Jones, Colin and Nagy, Zoltan and Schwan, Roland and Dey, Biswadip and Chakrabarty, Ankush and Di Cairano, Stefano and Paulson, Joel A. and Carron, Andrea and Zeilinger, Melanie and Cortez, Wenceslaw S. and Vrabie, Draguna L.},
    • title = {Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems},
    • booktitle = {American Control Conference (ACC)},
    • year = 2023,
    • month = may,
    • doi = {10.23919/ACC55779.2023.10155901},
    • url = {https://www.merl.com/publications/TR2023-052}
    • }
  •  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 TR2023-057 PDF
    • @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://www.merl.com/publications/TR2023-057}
    • }
  •  Koike-Akino, T., Jung, M., Chakrabarty, A., Wang, Y., Kojima, K., Brand, M., "Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_FS.2023.FW4C.7, May 2023.
    BibTeX TR2023-036 PDF
    • @inproceedings{Koike-Akino2023may,
    • author = {Koike-Akino, Toshiaki and Jung, Minwoo and Chakrabarty, Ankush and Wang, Ye and Kojima, Keisuke and Brand, Matthew},
    • title = {Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2023,
    • month = may,
    • doi = {10.1364/CLEO_FS.2023.FW4C.7},
    • url = {https://www.merl.com/publications/TR2023-036}
    • }
  •  Chakrabarty, A., Berntorp, K., Di Cairano, S., "Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets", Control Engineering Practice, DOI: 10.1016/​j.conengprac.2023.105450, Vol. 133, February 2023.
    BibTeX TR2023-005 PDF
    • @article{Chakrabarty2023feb,
    • author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets},
    • journal = {Control Engineering Practice},
    • year = 2023,
    • volume = 133,
    • month = feb,
    • doi = {10.1016/j.conengprac.2023.105450},
    • url = {https://www.merl.com/publications/TR2023-005}
    • }
  •  Bhattacharya, C., Chakrabarty, A., Laughman, C.R., Qiao, H., "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, DOI: 10.1016/​j.ifacol.2022.11.168, December 2022, pp. 99-106.
    BibTeX TR2022-170 PDF
    • @inproceedings{Bhattacharya2022dec,
    • author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
    • title = {https://iwww.merl.com/TR/camready-4505.pdf},
    • booktitle = {Modeling, Estimation and Control Conference},
    • year = 2022,
    • pages = {99--106},
    • month = dec,
    • doi = {10.1016/j.ifacol.2022.11.168},
    • url = {https://www.merl.com/publications/TR2022-170}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/​TSMC.2022.3216790, December 2022.
    BibTeX TR2022-168 PDF
    • @article{Chakrabarty2022dec2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation},
    • journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/TSMC.2022.3216790},
    • url = {https://www.merl.com/publications/TR2022-168}
    • }
  •  Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992404, December 2022.
    BibTeX TR2022-160 PDF
    • @inproceedings{Chakrabarty2022dec,
    • author = {Chakrabarty, Ankush},
    • title = {Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992404},
    • url = {https://www.merl.com/publications/TR2022-160}
    • }
  •  Paulson, J.A., Sorouifar, F., Chakrabarty, A., "Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992943, December 2022.
    BibTeX TR2022-161 PDF
    • @inproceedings{Paulson2022dec,
    • author = {Paulson, Joel A. and Sorouifar, Farshud and Chakrabarty, Ankush},
    • title = {Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992943},
    • url = {https://www.merl.com/publications/TR2022-161}
    • }
  •  Chakrabarty, A., Burns, D.J., Guay, M., Laughman, C.R., "Extremum seeking controller tuning for heat pump optimization using failure-robust Bayesian optimization", Journal of Process Control, DOI: 10.1016/​j.jprocont.2022.11.006, Vol. 120, pp. 86-96, November 2022.
    BibTeX TR2022-144 PDF
    • @article{Chakrabarty2022nov2,
    • author = {Chakrabarty, Ankush and Burns, Daniel J. and Guay, Martin and Laughman, Christopher R.},
    • title = {Extremum seeking controller tuning for heat pump optimization using failure-robust Bayesian optimization},
    • journal = {Journal of Process Control},
    • year = 2022,
    • volume = 120,
    • pages = {86--96},
    • month = nov,
    • doi = {10.1016/j.jprocont.2022.11.006},
    • url = {https://www.merl.com/publications/TR2022-144}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chong, A., Chakrabarty, A., "Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization", Energy and Buildings, DOI: 10.1016/​j.enbuild.2022.112278, Vol. 270, pp. 112278, September 2022.
    BibTeX TR2022-072 PDF
    • @article{Zhan2023jan,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chong, Adrian and Chakrabarty, Ankush},
    • title = {Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 270,
    • pages = 112278,
    • month = sep,
    • doi = {10.1016/j.enbuild.2022.112278},
    • url = {https://www.merl.com/publications/TR2022-072}
    • }
  •  Menner, M., Chakrabarty, A., Berntorp, K., Di Cairano, S., "Learning Optimization-based Control Policies Directly from Digital Twin Simulations", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA49430.2022.9966077, August 2022, pp. 895-900.
    BibTeX TR2022-108 PDF
    • @inproceedings{Menner2022aug,
    • author = {Menner, Marcel and Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Learning Optimization-based Control Policies Directly from Digital Twin Simulations},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2022,
    • pages = {895--900},
    • month = aug,
    • doi = {10.1109/CCTA49430.2022.9966077},
    • url = {https://www.merl.com/publications/TR2022-108}
    • }
  •  Nasrin, S., Shylendra, A., Darabi, N., Tulabandhula, T., Gomes, W., Chakrabarty, A., Trivedi, A., "ENOS: Energy-aware Network Operator Search in Deep Neural Networks", IEEE Access, DOI: 10.1109/​ACCESS.2022.3192515, July 2022.
    BibTeX IEEE Access
    • @article{Nasrin2022jul,
    • author = {Nasrin, Shamma and Shylendra, Ahish and Darabi, Nastaran and Tulabandhula, Theja and Gomes, Wilfred and Chakrabarty, Ankush and Trivedi, Amit},
    • title = {ENOS: Energy-aware Network Operator Search in Deep Neural Networks},
    • journal = {IEEE Access},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/ACCESS.2022.3192515},
    • url = {https://ieeexplore.ieee.org/document/9833492}
    • }
  •  Chakrabarty, A., Burns, D.J., Guay, M., Laughman, C.R., "Rapid Energy Optimization Of Vapor Compression Systems Using Probabilistic Machine Learning And Extremum Seeking Control", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-172 PDF
    • @inproceedings{Chakrabarty2022jul,
    • author = {Chakrabarty, Ankush and Burns, Daniel J. and Guay, Martin and Laughman, Christopher R.},
    • title = {Rapid Energy Optimization Of Vapor Compression Systems Using Probabilistic Machine Learning And Extremum Seeking Control},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-172}
    • }
  •  Xu, W., Jones, C., Svetozarevic, B., Laughman, C.R., Chakrabarty, A., "VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints", American Control Conference (ACC), June 2022, pp. 5288-5293.
    BibTeX TR2022-064 PDF
    • @inproceedings{Xu2022jun,
    • author = {Xu, Wenjie and Jones, Colin and Svetozarevic, Bratislav and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {5288--5293},
    • month = jun,
    • isbn = {978-1-6654-5197-0},
    • url = {https://www.merl.com/publications/TR2022-064}
    • }
  •  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}
    • }