NEWS MERL researchers presented 8 papers at Conference on Decision and Control (CDC)
Date released: December 11, 2019
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NEWS MERL researchers presented 8 papers at Conference on Decision and Control (CDC) Date:
December 11, 2019 - December 13, 2019
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Where:
Nice, France
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Description:
At the Conference on Decision and Control, MERL presented 8 papers on subjects including estimation for thermal-fluid models and transportation networks, analysis of HVAC systems, extremum seeking for multi-agent systems, reinforcement learning for vehicle platoons, and learning with applications to autonomous vehicles.
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MERL Contacts:
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Research Areas:
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Related Publications
- "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030110, December 2019, pp. 4079-4084.
,BibTeX TR2019-142 PDF- @inproceedings{Chu2019dec,
- author = {Chu, Tianshu and Kalabić, Uroš},
- title = {Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons},
- booktitle = {Proc. IEEE Conference on Decision and Control},
- year = 2019,
- pages = {4079--4084},
- month = dec,
- doi = {10.1109/CDC40024.2019.9030110},
- url = {https://www.merl.com/publications/TR2019-142}
- }
- "Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029730, December 2019, pp. 2952-2957.
,BibTeX TR2019-143 PDF- @inproceedings{Garcia2019dec,
- author = {Garcia, Joaquin and Danielson, Claus and Limon, Daniel and Bortoff, Scott A. and Di Cairano, Stefano},
- title = {Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {2952--2957},
- month = dec,
- doi = {10.1109/CDC40024.2019.9029730},
- url = {https://www.merl.com/publications/TR2019-143}
- }
- "Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029445, December 2019, pp. 5113-5118.
,BibTeX TR2019-144 PDF- @inproceedings{Wollenstein2019dec,
- author = {Wollenstein, Salomón and Sun, Chuangchuang and Zhang, Jing and Paschalidis, Ioannis},
- title = {Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {5113--5118},
- month = dec,
- doi = {10.1109/CDC40024.2019.9029445},
- url = {https://www.merl.com/publications/TR2019-144}
- }
- "Bayesian Learning of Tire Friction with Automotive-Grade Sensors by Gaussian-Process State-Space Models", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029732, December 2019, pp. 6681-6686.
,BibTeX TR2019-145 PDF- @inproceedings{Berntorp2019dec,
- author = {Berntorp, Karl and Hiroaki, Kitano},
- title = {Bayesian Learning of Tire Friction with Automotive-Grade Sensors by Gaussian-Process State-Space Models},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {6681--6686},
- month = dec,
- doi = {10.1109/CDC40024.2019.9029732},
- url = {https://www.merl.com/publications/TR2019-145}
- }
- "Inverse Learning for Human-Adaptive Motion Planning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030020, December 2019.
,BibTeX TR2019-146 PDF- @inproceedings{Menner2019dec,
- author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
- title = {Inverse Learning for Human-Adaptive Motion Planning},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- month = dec,
- doi = {10.1109/CDC40024.2019.9030020},
- url = {https://www.merl.com/publications/TR2019-146}
- }
- "Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029593, December 2019, pp. 2157-2162.
,BibTeX TR2019-147 PDF- @inproceedings{Benosman2019dec,
- author = {Benosman, Mouhacine and Borggaard, Jeff},
- title = {Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {2157--2162},
- month = dec,
- doi = {10.1109/CDC40024.2019.9029593},
- url = {https://www.merl.com/publications/TR2019-147}
- }
- "Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029593, December 2019, pp. 2157-2162.
,BibTeX TR2019-147 PDF- @inproceedings{Benosman2019dec,
- author = {Benosman, Mouhacine and Borggaard, Jeff},
- title = {Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {2157--2162},
- month = dec,
- doi = {10.1109/CDC40024.2019.9029593},
- url = {https://www.merl.com/publications/TR2019-147}
- }
- "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 TR2019-149 PDF- @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},
- url = {https://www.merl.com/publications/TR2019-149}
- }
- "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030110, December 2019, pp. 4079-4084.
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