NEWS    MERL Researchers Presented Six Papers at the 2022 IEEE Conference on Decision and Control (CDC’22)

Date released: December 8, 2022


  •  NEWS    MERL Researchers Presented Six Papers at the 2022 IEEE Conference on Decision and Control (CDC’22)
  • Date:

    December 6, 2022 - December 9, 2022

  • Where:

    Cancún, Mexico

  • Description:

    MERL researchers presented six papers at the Conference on Decision and Control that was held in Cancún, Mexico from December 6-9, 2022. The papers covered a broad range of topics in the areas of decision making and control, including Bayesian optimization, quadratic programming, solution of differential equations, distributed Kalman filtering, thermal monitoring of batteries, and closed-loop control optimization.

  • MERL Contacts:
  • Research Areas:

    Control, Optimization

    •  Tu, H., Wang, Y., Li, X., Fang, H., "Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992543, December 2022.
      BibTeX TR2022-162 PDF
      • @inproceedings{Tu2022dec2,
      • author = {Tu, Hao and Wang, Yebin and Li, Xianglin and Fang, Huazhen},
      • title = {Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • doi = {10.1109/CDC51059.2022.9992543},
      • url = {https://www.merl.com/publications/TR2022-162}
      • }
    •  Paulson, J.A., Sorouifar, F., Chakrabarty, A., "Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints", IEEE Conference on Decision and Control (CDC), 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,
      • url = {https://www.merl.com/publications/TR2022-161}
      • }
    •  Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), 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,
      • url = {https://www.merl.com/publications/TR2022-160}
      • }
    •  Romero, O., Benosman, M., Pappas, G., "ODE Discretization Schemes as Optimization Algorithms", IEEE Conference on Decision and Control (CDC), December 2022.
      BibTeX TR2022-159 PDF
      • @inproceedings{Romero2022dec,
      • author = {Romero, Orlando and Benosman, Mouhacine and Pappas, Geroge},
      • title = {ODE Discretization Schemes as Optimization Algorithms},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-159}
      • }
    •  Greiff, M., Berntorp, K., "Distributed Kalman Filtering: When to Share Measurements", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9993404, December 2022, pp. 5399-5404.
      BibTeX TR2022-158 PDF
      • @inproceedings{Greiff2022dec,
      • author = {Greiff, Marcus and Berntorp, Karl},
      • title = {Distributed Kalman Filtering: When to Share Measurements},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • pages = {5399--5404},
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/CDC51059.2022.9993404},
      • issn = {2576-2370},
      • isbn = {978-1-6654-6761-2},
      • url = {https://www.merl.com/publications/TR2022-158}
      • }
    •  Raghunathan, A., Jha, D.K., Romeres, D., "Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs", IEEE Conference on Decision and Control (CDC), December 2022.
      BibTeX TR2022-157 PDF
      • @inproceedings{Raghunathan2022dec,
      • author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
      • title = {Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-157}
      • }