1 code implementation • 25 Mar 2024 • Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger
In recent years, there has been a growing interest in integrating linear state-space models (SSM) in deep neural network architectures of foundation models.
1 code implementation • 20 Mar 2023 • Jing Shuang Li, Carmen Amo Alonso
We also present an algorithm to determine the communication structure for a given system that will preserve performance while minimizing computational complexity.
2 code implementations • 22 Dec 2021 • Carmen Amo Alonso, Fengjun Yang, Nikolai Matni
By imposing locality constraints on the system response, we show that the amount of data needed for our synthesis problem is independent of the size of the global system.
1 code implementation • 3 Oct 2020 • Jing Shuang Li, Carmen Amo Alonso, John C. Doyle
The System Level Synthesis (SLS) approach facilitates distributed control of large cyberphysical networks in an easy-to-understand, computationally scalable way.