38 citations · 70 across the 15 of their papers we have counts for
7 papers · 1 filter
-Analysis: A New Notion of Robustness for Large Systems with Structured Uncertainties
Olle Kjellqvist, John C. Doyle
We present a new, scalable alternative to the structured singular value, which we call , provide a convex upper bound, study their properties and compare them to robust…
Distributed Robust Control for Systems with Structured Uncertainties
Jing Shuang Li, John C. Doyle
We present D-Phi iteration: an algorithm for distributed, localized, and scalable robust control of systems with structured uncertainties. This algorithm combines the System Level…
Descending Predictive Feedback: From Optimal Control to the Sensorimotor System
Jing Shuang Li, Anish A. Sarma, John C. Doyle
Descending predictive feedback (DPF) is an ubiquitous yet unexplained phenomenon in the central nervous system. Motivated by recent observations on motor-related signals in the vis…
Robust Model-Free Learning and Control without Prior Knowledge
Dimitar Ho, John Doyle
We present a simple model-free control algorithm that is able to robustly learn and stabilize an unknown discrete-time linear system with full control and state feedback subject to…
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski +1
Nervous systems sense, communicate, compute and actuate movement using distributed components with severe trade-offs in speed, accuracy, sparsity, noise and saturation. Nevertheles…
WheelCon: A wheel control-based gaming platform for studying human sensorimotor control
Quanying Liu, Yorie Nakahira, Ahkeel Mohideen +5
Feedback control theory has been extensively implemented to theoretically model human sensorimotor control. However, experimental platforms capable of manipulating important compon…
Separable and Localized System Level Synthesis for Large-Scale Systems
Yuh-Shyang Wang, Nikolai Matni, John C. Doyle
A major challenge faced in the design of large-scale cyber-physical systems, such as power systems, the Internet of Things or intelligent transportation systems, is that traditiona…