Resilient control under Denial-of-Service: Robust design

By Shuai Feng, Pietro Tesi. American Control Conference, 2016

431 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/469fb26ec0179e4e7c48f08832e52eb9617ab1ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Lei Ding
5. Derui Ding
6. Dong Yue
7. Songlin Hu
8. Xiangpeng Xie

In Control and Systems Engineering

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Lei Ding
5. Derui Ding
6. Dong Yue
7. Songlin Hu
8. Xiangpeng Xie

Citations in the corpus

• Resilient Event-Triggered Controller Synthesis of Networked Control Systems Under Periodic DoS Jamming Attacks (2019, background): “Among the existing works on networked control under DoS attacks, to name a few, security-constrained optimal control strategy is investigated in [6] and [9], the model-based resilient controller is studied in [10], the “maximally robust” control architectures are designed in [11], switched resilient”
• Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks (2020, background): “In [19], dynamical observers with the state resetting mechanism are provided to maximize the amount of DoS for CPSs.”
• Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “Such a robustness measure is further extended in [29] by resorting to an impulsive controller based on a dynamic observer.”
• Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks (2019, methodology): “Remark 1: Recalling some existing results on DoS attacks, the objective is to design a sampling logic in [34] or a proper sampling period T 0 in [33] for a given stabilizing controller such that the stabilizing controller is robust to DoS attacks.”
• Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks (2020, background): “Based on a similar idea, extensions have been considered in [5] and [30] for dealing with dynamic output-feedback controllers, in [33] for nonlinear NCSs, and in [35] for distributed NCSs.”