125 citations · 211 across the 11 of their papers we have counts for
14 papers
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
James Anderson, John C. Doyle, Steven Low +1
This article surveys the System Level Synthesis framework, which presents a novel perspective on constrained robust and optimal controller synthesis for linear systems. We show how…
Scalable Robust Adaptive Control from the System Level Perspective
Dimitar Ho, John C. Doyle
We will present a new general framework for robust and adaptive control that allows for distributed and scalable learning and control of large systems of interconnected linear subs…
Passive-Aggressive Learning and Control
Dimitar Ho, Nikolai Matni, John C. Doyle
In this work, we investigate the problem of simultaneously learning and controlling a system subject to adversarial choices of disturbances and system parameters. We study the prob…
Fundamental Limits and Tradeoffs in Autocatalytic Pathways
Milad Siami, Nader Motee, Gentian Buzi +3
This paper develops some basic principles to study autocatalytic networks and exploit their structural properties in order to characterize their inherent fundamental limits and tra…
A System Level Approach to Controller Synthesis
Yuh-Shyang Wang, Nikolai Matni, John C. Doyle
Biological and advanced cyberphysical control systems often have limited, sparse, uncertain, and distributed communication and computing in addition to sensing and actuation. Fortu…