Publications

74 / 3,592 publications found.


  •  Qiao, H., Kobayashi, T., Laughman, C.R., Bortoff, S.A., "On the Characteristics of One-Dimensional Compressible Flow", International Modelica Conference, Dirk Müller, Antonello Monti, and Andrea Benigni, Eds., DOI: 10.3384/​ecp204327, December 2023, pp. 327-336.
    BibTeX TR2024-001 PDF
    • @inproceedings{Qiao2023dec,
    • author = {Qiao, Hongtao and Kobayashi, Takashi and Laughman, Christopher R. and Bortoff, Scott A.},
    • title = {On the Characteristics of One-Dimensional Compressible Flow},
    • booktitle = {Proceedings of the 15th International Modelica Conference 2023},
    • year = 2023,
    • editor = {Dirk Müller, Antonello Monti, and Andrea Benigni},
    • pages = {327--336},
    • month = dec,
    • doi = {10.3384/ecp204327},
    • isbn = {978-91-8075-505-4},
    • url = {https://www.merl.com/publications/TR2024-001}
    • }
  •  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}
    • }
  •  Qiao, H., Laughman, C.R., "Theoretical analysis of cycling losses in air source heat pump systems", International Congress of Refrigeration (ICR), DOI: 10.18462/​iir.icr.2023.0765, September 2023.
    BibTeX TR2023-127 PDF
    • @inproceedings{Qiao2023sep,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Theoretical analysis of cycling losses in air source heat pump systems},
    • booktitle = {International Congress of Refrigeration (ICR)},
    • year = 2023,
    • month = sep,
    • 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/TR2023-127}
    • }
  •  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}
    • }
  •  Deshpande, V.M., Laughman, C.R., "Multi-pass Extended Kalman Smoother with Partially-known Constraints for Estimation of Vapor Compression Cycles", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/​j.ifacol.2023.10.381, July 2023, pp. 6751-6758.
    BibTeX TR2023-079 PDF
    • @inproceedings{Deshpande2023jul,
    • author = {Deshpande, Vedang M. and Laughman, Christopher R.},
    • title = {Multi-pass Extended Kalman Smoother with Partially-known Constraints for Estimation of Vapor Compression Cycles},
    • booktitle = {IFAC-PapersOnLine},
    • year = 2023,
    • pages = {6751--6758},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2023.10.381},
    • issn = {ISSN 2405-8963},
    • url = {https://www.merl.com/publications/TR2023-079}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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., 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}
    • }
  •  Qiao, H., Laughman, C.R., "Performance Enhancements for Zero-Flow Simulation of Vapor Compression Cycles", American Modelica Conference, DOI: 10.3384/​ECP21186128, October 2022, pp. 128-135.
    BibTeX TR2022-137 PDF
    • @inproceedings{Qiao2022oct,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Performance Enhancements for Zero-Flow Simulation of Vapor Compression Cycles},
    • booktitle = {PROCEEDINGS OF THE AMERICAN MODELICA CONFERENCE 2022},
    • year = 2022,
    • pages = {128--135},
    • month = oct,
    • doi = {10.3384/ECP21186128},
    • url = {https://www.merl.com/publications/TR2022-137}
    • }
  •  Bortoff, S.A., Laughman, C.R., "Estimation: A Key Technology for Digital Twins", Mitsubishi Sanden Gihou, Vol. 96, No. 8, pp. 304-307, October 2022.
    BibTeX TR2022-127 PDF
    • @article{Bortoff2022oct,
    • author = {Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Estimation: A Key Technology for Digital Twins},
    • journal = {Mitsubishi Sanden Gihou},
    • year = 2022,
    • volume = 96,
    • number = 8,
    • pages = {304--307},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-127}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Qiao, H., Laughman, C.R., "Dynamic Modeling of Oil Transport in Vapor Compression Systems", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-122 PDF
    • @inproceedings{Qiao2022sep,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Dynamic Modeling of Oil Transport in Vapor Compression Systems},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-122}
    • }
  •  Qiao, H., Laughman, C.R., "A Low-Order Model for Nonlinear Dynamics of Heat Exchangers", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-123 PDF
    • @inproceedings{Qiao2022sep2,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {A Low-Order Model for Nonlinear Dynamics of Heat Exchangers},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-123}
    • }
  •  Deshpande, V., Laughman, C.R., Ma, Y., Rackauckas, C., "Constrained Smoothers for State Estimation of Vapor Compression Cycles", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867269, June 2022, pp. 2333-2340.
    BibTeX TR2022-063 PDF
    • @inproceedings{Deshpande2022jun,
    • author = {Deshpande, Vedang and Laughman, Christopher R. and Ma, Yingbo and Rackauckas, Chris},
    • title = {Constrained Smoothers for State Estimation of Vapor Compression Cycles},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {2333--2340},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ACC53348.2022.9867269},
    • issn = {2378-5861},
    • isbn = {978-1-6654-5196-3},
    • url = {https://www.merl.com/publications/TR2022-063}
    • }
  •  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}
    • }
  •  Anantharaman, R., Abdelrahim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C.R., Ma, Y., Shah, V., Edelman, A., Rackauckas, C., "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
    BibTeX TR2022-034 PDF
    • @inproceedings{Anantharaman2022mar,
    • author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
    • booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
    • year = 2022,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-034}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
    BibTeX TR2022-030 PDF
    • @article{Chakrabarty2022mar,
    • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 253,
    • pages = 111460,
    • month = mar,
    • doi = {10.1016/j.enbuild.2021.111460},
    • url = {https://www.merl.com/publications/TR2022-030}
    • }