3 citations · 9 across the 11 of their papers we have counts for
12 papers
Consistent Model Chasing Is Minimax Optimal: The Exact Value of Scalar Adversarial Adaptive Control under Large Parametric Uncertainty
Dimitar Ho
We solve exactly a fundamental problem of adaptive control against adversarial disturbances: regulate the scalar system , , ,…
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…
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…
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…
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…