Architecture and Trade-offs in the Heat Shock Response System. - Noah Olsman; Carmen Amo Alonso; John C. Doyle 001 (CDC, 2018)

Distributed and Localized Model Predictive Control via System Level Synthesis. - Carmen Amo Alonso; Nikolai Matni (CoRR, 2019)

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. - Carmen Amo Alonso; Nikolai Matni; James Anderson 001 (CDC, 2020)

Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis. - Carmen Amo Alonso; Nikolai Matni (CDC, 2020)

System Level Synthesis via Dynamic Programming. - Shih-Hao Tseng; Carmen Amo Alonso; SooJean Han (CDC, 2020)

MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control. - Jing Shuang Li; Carmen Amo Alonso; John C. Doyle 001 (CoRR, 2020)

Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond. - Jing Shuang Li; Carmen Amo Alonso; John C. Doyle 001 (ACC, 2021)

Data-driven Distributed and Localized Model Predictive Control. - Carmen Amo Alonso; Fengjun Yang; Nikolai Matni (CoRR, 2021)

Effective GPU Parallelization of Distributed and Localized Model Predictive Control. - Carmen Amo Alonso; Shih-Hao Tseng (ICCA, 2022)

Global Performance Guarantees for Localized Model Predictive Control. - Jing Shuang Li; Carmen Amo Alonso (CoRR, 2023)

Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. - Carmen Amo Alonso; Jing Shuang Li; James Anderson 001; Nikolai Matni (IEEE Trans. Control. Netw. Syst., 2023)

Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. - Carmen Amo Alonso; Jing Shuang Li; Nikolai Matni; James Anderson 001 (IEEE Trans. Control. Netw. Syst., 2023)

NARRATE: Versatile Language Architecture for Optimal Control in Robotics. - Seif Ismail; Antonio Arbues; Ryan Cotterell; René Zurbrügg; Carmen Amo Alonso (IROS, 2024)

Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks. - Jerome Sieber; Carmen Amo Alonso; Alexandre Didier; Melanie N. Zeilinger; Antonio Orvieto (NeurIPS, 2024)

Linearly Controlled Language Generation with Performative Guarantees. - Emily Cheng; Marco Baroni; Carmen Amo Alonso (CoRR, 2024)

State Space Models as Foundation Models: A Control Theoretic Overview. - Carmen Amo Alonso; Jerome Sieber; Melanie N. Zeilinger (ACC, 2025)

Lambda-Skip Connections: the architectural component that prevents Rank Collapse. - Federico Arangath Joseph; Jerome Sieber; Melanie Nicole Zeilinger; Carmen Amo Alonso (ICLR, 2025)

System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings. - Lukas Schüepp; Giulia De Pasquale; Florian Dörfler; Carmen Amo Alonso (CoRR, 2025)

Bridging Expressivity and Scalability with Adaptive Unitary SSMs. - Arjun Karuvally; Franz Nowak; Thomas A. Keller 001; Carmen Amo Alonso; Terrence J. Sejnowski; Hava T. Siegelmann (CoRR, 2025)

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning. - Rahel Rickenbach; Bruce Lee; René Zurbrügg; Carmen Amo Alonso; Melanie N. Zeilinger (CoRR, 2025)

Design Principles for Sequence Models via Coefficient Dynamics. - Jerome Sieber; Antonio Orvieto; Melanie N. Zeilinger; Carmen Amo Alonso (CoRR, 2025)