# Resilient Control under Denial-of-Service:Robust Design

arXiv: https://arxiv.org/abs/1603.02564 · HTML: https://mlsanity.com/paper/1603.02564/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Mar 2016.

## Built on by (most cited first, 2 of 2)

- [Reinforcement Learning for Feedback-Enabled Cyber Resilience](https://mlsanity.com/paper/2107.00783/) (2021)
- [Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach](https://mlsanity.com/paper/2207.08332/) (2022)

## Abstract (arXiv)

In this paper, we study networked control systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. The control objective is to maximize frequency and duration of the DoS attacks under which closed-loop stability is not destroyed. Analog and digital predictor-based controllers with state resetting are proposed, which achieve the considered control objective for a general class of DoS signals. An example is given to illustrate the proposed solution approach.