2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Achieving Performance and Safety in Large Scale Systems with Saturation using a Nonlinear System Level Synthesis Approach
Jing Yu, Dimitar Ho
We present a novel class of nonlinear controllers that interpolates among differently behaving linear controllers as a case study for recently proposed Linear and Nonlinear System…
Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis
Jing Shuang Li, Dimitar Ho
We show that given a desired closed-loop response for a system, there exists an affine subspace of controllers that achieve this response. By leveraging the existence of this subsp…
A System Level Approach to Discrete-Time Nonlinear Systems
Dimitar Ho
We will show that there is a universal connection between the achievable closed-loop dynamics and the corresponding feedback controller that produces it. This connection shows prom…
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…