Publications

506 / 3,778 publications found.


  •  Lin, C., Ma, Y., Sels, D., "Application of Pontryagin’s Maximum Principle to Quantum Metrology in Dissipative Systems", Physical Reivew A, DOI: 10.1103/​PhysRevA.105.042621, Vol. 105, No. 4, pp. 042621, May 2022.
    BibTeX TR2022-048 PDF
    • @article{Lin2022may,
    • author = {Lin, Chungwei and Ma, Yanting and Sels, Dries},
    • title = {Application of Pontryagin’s Maximum Principle to Quantum Metrology in Dissipative Systems},
    • journal = {Physical Reivew A},
    • year = 2022,
    • volume = 105,
    • number = 4,
    • pages = 042621,
    • month = may,
    • doi = {10.1103/PhysRevA.105.042621},
    • url = {https://www.merl.com/publications/TR2022-048}
    • }
  •  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 TR2022-043 PDF
    • @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},
    • url = {https://www.merl.com/publications/TR2022-043}
    • }
  •  Cauligi, A., Chakrabarty, A., Di Cairano, S., Quirynen, R., "PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control", Learning for Dynamics and Control Conference (L4DC), April 2022, pp. 34-46.
    BibTeX TR2022-039 PDF
    • @inproceedings{Cauligi2022apr,
    • author = {Cauligi, Abhishek and Chakrabarty, Ankush and Di Cairano, Stefano and Quirynen, Rien},
    • title = {PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control},
    • booktitle = {Learning for Dynamics and Control Conference (L4DC)},
    • year = 2022,
    • pages = {34--46},
    • month = apr,
    • publisher = {Proceedings of Machine Learning Research (PMLR)},
    • url = {https://www.merl.com/publications/TR2022-039}
    • }
  •  Bortoff, S.A., Schwerdtner, P., Danielson, C., Di Cairano, S., Burns, D.J., "H-Infinity Loop-Shaped Model Predictive Control with HVAC Application", IEEE Transactions on Control Systems Technology, DOI: 10.1109/​TCST.2022.3141937, Vol. 30, No. 5, pp. 2188-2203, March 2022.
    BibTeX TR2022-028 PDF
    • @article{Bortoff2022mar,
    • author = {Bortoff, Scott A. and Schwerdtner, Paul and Danielson, Claus and Di Cairano, Stefano and Burns, Daniel J.},
    • title = {H-Infinity Loop-Shaped Model Predictive Control with HVAC Application},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2022,
    • volume = 30,
    • number = 5,
    • pages = {2188--2203},
    • month = mar,
    • doi = {10.1109/TCST.2022.3141937},
    • issn = {1063-6536},
    • url = {https://www.merl.com/publications/TR2022-028}
    • }
  •  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 TR2022-010 PDF
    • @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.merl.com/publications/TR2022-010}
    • }
  •  Vijayshankar, S., Chakrabarty, A., Grover, P., Nabi, S., "Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data", IFAC Journal of Systems and Control, DOI: 10.1016/​j.ifacsc.2021.100181, Vol. 19, pp. 100181, January 2022.
    BibTeX TR2022-009 PDF
    • @article{Vijayshankar2022jan,
    • author = {Vijayshankar, Sanjana and Chakrabarty, Ankush and Grover, Piyush and Nabi, Saleh},
    • title = {Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data},
    • journal = {IFAC Journal of Systems and Control},
    • year = 2022,
    • volume = 19,
    • pages = 100181,
    • month = jan,
    • doi = {10.1016/j.ifacsc.2021.100181},
    • url = {https://www.merl.com/publications/TR2022-009}
    • }
  •  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 TR2022-003 PDF
    • @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://www.merl.com/publications/TR2022-003}
    • }
  •  Berntorp, K., Chakrabarty, A., Di Cairano, S., "Vehicle Rollover Avoidance by Parameter-Adaptive Reference Governor", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9683770, December 2021, pp. 635-640.
    BibTeX TR2021-151 PDF
    • @inproceedings{Berntorp2021dec,
    • author = {Berntorp, Karl and Chakrabarty, Ankush and Di Cairano, Stefano},
    • title = {Vehicle Rollover Avoidance by Parameter-Adaptive Reference Governor},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {635--640},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9683770},
    • url = {https://www.merl.com/publications/TR2021-151}
    • }
  •  Quirynen, R., Di Cairano, S., "Sequential Quadratic Programming Algorithm for Real-Time Mixed-Integer Nonlinear MPC", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9683714, December 2021, pp. 993-999.
    BibTeX TR2021-147 PDF
    • @inproceedings{Quirynen2021dec,
    • author = {Quirynen, Rien and Di Cairano, Stefano},
    • title = {Sequential Quadratic Programming Algorithm for Real-Time Mixed-Integer Nonlinear MPC},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {993--999},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9683714},
    • url = {https://www.merl.com/publications/TR2021-147}
    • }
  •  Raghunathan, A., "Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682847, December 2021, pp. 968-973.
    BibTeX TR2021-150 PDF
    • @inproceedings{Raghunathan2021dec,
    • author = {Raghunathan, Arvind},
    • title = {Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {968--973},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682847},
    • issn = {2576-2370},
    • isbn = {978-1-6654-3659-5},
    • url = {https://www.merl.com/publications/TR2021-150}
    • }
  •  Vinod, A.P., Weiss, A., Di Cairano, S., "Abort-safe spacecraft rendezvous under stochastic actuation and navigation uncertainty", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9683322, December 2021, pp. 6620-6625.
    BibTeX TR2021-148 PDF
    • @inproceedings{Vinod2021dec,
    • author = {Vinod, Abraham P. and Weiss, Avishai and Di Cairano, Stefano},
    • title = {Abort-safe spacecraft rendezvous under stochastic actuation and navigation uncertainty},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {6620--6625},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9683322},
    • url = {https://www.merl.com/publications/TR2021-148}
    • }
  •  Bonzanini, A.D., Mesbah, A., Di Cairano, S., "On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682990, December 2021.
    BibTeX TR2021-145 PDF
    • @inproceedings{Bonzanini2021dec,
    • author = {Bonzanini, Angelo Domenico and Mesbah, Ali and Di Cairano, Stefano},
    • title = {On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682990},
    • url = {https://www.merl.com/publications/TR2021-145}
    • }
  •  Johnson, R.S., Di Cairano, S., Sanfelice, R., "Parameter Estimation using Hybrid Gradient Descent", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682794, December 2021.
    BibTeX TR2021-146 PDF
    • @inproceedings{Johnson2021dec,
    • author = {Johnson, Ryan S. and Di Cairano, Stefano and Sanfelice, Ricardo},
    • title = {Parameter Estimation using Hybrid Gradient Descent},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682794},
    • url = {https://www.merl.com/publications/TR2021-146}
    • }
  •  Chen, D., Danielson, C., Di Cairano, S., "A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.245, October 2021, pp. 650-656.
    BibTeX TR2021-133 PDF
    • @inproceedings{Chen2021oct,
    • author = {Chen, Di and Danielson, Claus and Di Cairano, Stefano},
    • title = {A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles},
    • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
    • year = 2021,
    • pages = {650--656},
    • month = oct,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2021.11.245},
    • url = {https://www.merl.com/publications/TR2021-133}
    • }
  •  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 TR2021-134 PDF Video
    • @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.merl.com/publications/TR2021-134}
    • }
  •  Menner, M., Di Cairano, S., "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, DOI: 10.1109/​VPPC53923.2021.9699361, October 2021, pp. 1-6.
    BibTeX TR2021-132 PDF
    • @inproceedings{Menner2021oct,
    • author = {Menner, Marcel and Di Cairano, Stefano},
    • title = {Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles},
    • booktitle = {IEEE Vehicle Power and Propulsion Conference},
    • year = 2021,
    • pages = {1--6},
    • month = oct,
    • doi = {10.1109/VPPC53923.2021.9699361},
    • url = {https://www.merl.com/publications/TR2021-132}
    • }
  •  Chakrabarty, A., Quirynen, R., Romeres, D., Di Cairano, S., "Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC", IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/​SMC52423.2021.9659186, October 2021, pp. 3238-3244.
    BibTeX TR2021-126 PDF Video
    • @inproceedings{Chakrabarty2021oct,
    • author = {Chakrabarty, Ankush and Quirynen, Rien and Romeres, Diego and Di Cairano, Stefano},
    • title = {Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
    • year = 2021,
    • pages = {3238--3244},
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9659186},
    • url = {https://www.merl.com/publications/TR2021-126}
    • }
  •  Amadio, F., Dalla Libera, A., Carli, R., Romeres, D., "Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation", Automatica.it, September 2021.
    BibTeX TR2021-108 PDF
    • @inproceedings{Amadio2021sep,
    • author = {Amadio, Fabio and Dalla Libera, Alberto and Carli, Ruggero and Romeres, Diego},
    • title = {Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation},
    • booktitle = {Automatica.it},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-108}
    • }
  •  Tanaka, R., Nabi, S., Nonaka, M., "Airflow Optimization for Room Air Conditioners", Building Simulation 2021 Conference, September 2021.
    BibTeX TR2021-106 PDF
    • @inproceedings{Tanaka2021sep,
    • author = {Tanaka, Ryuta and Nabi, Saleh and Nonaka, Mio},
    • title = {Airflow Optimization for Room Air Conditioners},
    • booktitle = {Building Simulation 2021 Conference},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-106}
    • }
  •  Chakrabarty, A., Benosman, M., "Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization", Automatica, DOI: 10.1016/​j.automatica.2021.109860, August 2021.
    BibTeX TR2021-101 PDF
    • @article{Chakrabarty2021aug,
    • author = {Chakrabarty, Ankush and Benosman, Mouhacine},
    • title = {Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization},
    • journal = {Automatica},
    • year = 2021,
    • month = aug,
    • doi = {10.1016/j.automatica.2021.109860},
    • url = {https://www.merl.com/publications/TR2021-101}
    • }
  •  Ravikumar, S., Quirynen, R., Bhagat, A., Zeino, E., Di Cairano, S., "Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9658675, August 2021, pp. 814-819.
    BibTeX TR2021-089 PDF
    • @inproceedings{Ravikumar2021aug,
    • author = {Ravikumar, Shreejith and Quirynen, Rien and Bhagat, Akshay and Zeino, Eyad and Di Cairano, Stefano},
    • title = {Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2021,
    • pages = {814--819},
    • month = aug,
    • doi = {10.1109/CCTA48906.2021.9658675},
    • url = {https://www.merl.com/publications/TR2021-089}
    • }
  •  Greiff, M., Berntorp, K., Di Cairano, S., Kim, K.J., "Mixed-Integer Linear Regression Kalman Filters for GNSS Positioning", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9659142, August 2021.
    BibTeX TR2021-090 PDF
    • @inproceedings{Greiff2021aug,
    • author = {Greiff, Marcus and Berntorp, Karl and Di Cairano, Stefano and Kim, Kyeong Jin},
    • title = {Mixed-Integer Linear Regression Kalman Filters for GNSS Positioning},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2021,
    • month = aug,
    • doi = {10.1109/CCTA48906.2021.9659142},
    • url = {https://www.merl.com/publications/TR2021-090}
    • }
  •  Menner, M., Berntorp, K., Di Cairano, S., "A Kalman Filter for Online Calibration of Optimal Controllers", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9658684, August 2021, pp. 441-446.
    BibTeX TR2021-091 PDF
    • @inproceedings{Menner2021aug,
    • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
    • title = {A Kalman Filter for Online Calibration of Optimal Controllers},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2021,
    • pages = {441--446},
    • month = aug,
    • doi = {10.1109/CCTA48906.2021.9658684},
    • url = {https://www.merl.com/publications/TR2021-091}
    • }
  •  Quirynen, R., Berntorp, K., "Uncertainty Propagation by Linear Regression Kalman Filters for Stochastic NMPC", IFAC Conference on Nonlinear Model Predictive Control, DOI: 10.1016/​j.ifacol.2021.08.527, July 2021, pp. 76-82.
    BibTeX TR2021-084 PDF
    • @inproceedings{Quirynen2021jul,
    • author = {Quirynen, Rien and Berntorp, Karl},
    • title = {Uncertainty Propagation by Linear Regression Kalman Filters for Stochastic NMPC},
    • booktitle = {IFAC Conference on Nonlinear Model Predictive Control},
    • year = 2021,
    • pages = {76--82},
    • month = jul,
    • doi = {10.1016/j.ifacol.2021.08.527},
    • url = {https://www.merl.com/publications/TR2021-084}
    • }
  •  Dalla Libera, A., Amadio, F., Nikovski, D.N., Carli, R., Romeres, D., "Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models", European Control Conference (ECC), DOI: 10.23919/​ECC54610.2021.9654429, June 2021.
    BibTeX TR2021-068 PDF Video
    • @inproceedings{DallaLibera2021jun,
    • author = {Dalla Libera, Alberto and Amadio, Fabio and Nikovski, Daniel N. and Carli, Ruggero and Romeres, Diego},
    • title = {Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models},
    • booktitle = {European Control Conference (ECC)},
    • year = 2021,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ECC54610.2021.9654429},
    • isbn = {978-9-4638-4236-5},
    • url = {https://www.merl.com/publications/TR2021-068}
    • }