papers

Publications (10)

math.OC2020

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…

eess.SY2019

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…

eess.SY2023

Online Adversarial Stabilization of Unknown Networked Systems

Jing Yu, Dimitar Ho, Adam Wierman

We investigate the problem of stabilizing an unknown networked linear system under communication constraints and adversarial disturbances. We propose the first provably stabilizing…

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…

eess.SY2020

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…

physics.app-ph2018

Three Dimensional Aggregation of Magnetic Particles

Alex Pai, Dimitar Ho, Ali Hajimiri

Magnetic drug delivery is a promising therapeutic because of magnetic fields' ability to permeate unperturbed in human tissue. One of the long-standing challenges in magnetic drug…

eess.SY2020

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…

eess.SY2020

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…

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.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…