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20182021
most citedA System Level Approach to Discrete-Time Nonlinear Systems

2 citations · 4 across the 5 of their papers we have counts for

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math.OC2021

Distributed Linear Quadratic Regulator Robust to Communication Dropouts

Carmen Amo Alonso, Dimitar Ho, Jose M. Maestre

We present a solution to deal with information package dropouts in distributed controllers for large-scale networks. We do this by leveraging the System Level Synthesis approach, a…

math.OC2021

Online Robust Control of Nonlinear Systems with Large Uncertainty

Dimitar Ho, Hoang M. Le, John C. Doyle +1

Robust control is a core approach for controlling systems with performance guarantees that are robust to modeling error, and is widely used in real-world systems. However, current…

math.OC20202 cited

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…

math.OC2018

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…

math.OC2018

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…