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ORCIDCarmen Amo Alonso
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Journal Articles
- 2023
[j2]Carmen Amo Alonso
, Jing Shuang Li, James Anderson, Nikolai Matni:
Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. IEEE Trans. Control. Netw. Syst. 10(2): 1058-1068 (2023)- [j1]Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson:
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. IEEE Trans. Control. Netw. Syst. 10(3): 1113-1123 (2023)
Conference and Workshop Papers
- 2022
- [c6]Carmen Amo Alonso, Shih-Hao Tseng:
Effective GPU Parallelization of Distributed and Localized Model Predictive Control. ICCA 2022: 199-206 - 2021
- [c5]Jing Shuang Li, Carmen Amo Alonso, John C. Doyle:
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond. ACC 2021: 2720-2725 - 2020
- [c4]Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han:
System Level Synthesis via Dynamic Programming. CDC 2020: 1718-1725 - [c3]Carmen Amo Alonso, Nikolai Matni:
Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis. CDC 2020: 5598-5605 - [c2]Carmen Amo Alonso, Nikolai Matni, James Anderson:
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CDC 2020: 5606-5613 - 2018
- [c1]Noah Olsman, Carmen Amo Alonso, John C. Doyle:
Architecture and Trade-offs in the Heat Shock Response System. CDC 2018: 1096-1103
Informal and Other Publications
- 2024
- [i12]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. CoRR abs/2403.10762 (2024) - [i11]Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger:
State Space Models as Foundation Models: A Control Theoretic Overview. CoRR abs/2403.16899 (2024) - [i10]Emily Cheng, Marco Baroni, Carmen Amo Alonso:
Linearly Controlled Language Generation with Performative Guarantees. CoRR abs/2405.15454 (2024) - [i9]Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto:
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks. CoRR abs/2405.15731 (2024) - 2023
- [i8]Jing Shuang Li, Carmen Amo Alonso:
Global Performance Guarantees for Localized Model Predictive Control. CoRR abs/2303.11264 (2023) - 2022
- [i7]Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson:
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR abs/2203.00780 (2022) - 2021
- [i6]Carmen Amo Alonso, Shih-Hao Tseng:
Effective GPU Parallelization of Distributed and Localized Model Predictive Control. CoRR abs/2103.14990 (2021) - [i5]Carmen Amo Alonso, Fengjun Yang, Nikolai Matni:
Data-driven Distributed and Localized Model Predictive Control. CoRR abs/2112.12229 (2021) - 2020
- [i4]Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han:
System Level Synthesis via Dynamic Programming. CoRR abs/2004.12567 (2020) - [i3]Carmen Amo Alonso, Nikolai Matni, James Anderson:
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR abs/2005.13807 (2020) - [i2]Jing Shuang Li, Carmen Amo Alonso, John C. Doyle:
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control. CoRR abs/2010.01292 (2020) - 2019
- [i1]Carmen Amo Alonso, Nikolai Matni:
Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR abs/1909.10074 (2019)
Coauthor Index
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