8 citations · 12 across the 9 of their papers we have counts for
5 papers · 1 filter
Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC
Ryuta Moriyasu, Carmen Amo Alonso, Marco Pavone
Model predictive control (MPC) has been widely used in many fields, often in hierarchical architectures that combine controllers and decision-making layers at different levels. How…
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni +1
Engineered cyberphysical systems are growing increasingly large and complex. These systems require scalable controllers that robustly satisfy state and input constraints in the pre…
Data-driven Distributed and Localized Model Predictive Control
Carmen Amo Alonso, Fengjun Yang, Nikolai Matni
Motivated by large-scale but computationally constrained settings, e.g., the Internet of Things, we present a novel data-driven distributed control algorithm that is synthesized di…
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond
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. We present an over…
System Level Synthesis via Dynamic Programming
Shih-Hao Tseng, Carmen {Amo Alonso}, SooJean Han
System Level Synthesis (SLS) parametrization facilitates controller synthesis for large, complex, and distributed systems by incorporating system level constraints (SLCs) into a co…