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Shuai Feng - IEEE Xplore Author Profile
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Shuai Feng

Publications
11
Citations
189
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (13)
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Shuai Feng

Affiliation

School of Automation
Nanjing University of Science and Technology
Nanjing, China

Publication Topics

Biography

Shuai Feng (Member, IEEE) received the B.Eng. degree in mechatronics engineering from the Wuhan University of Science and Technology, Wuhan, China, in 2011, the M.Eng. degree in mechatronics engineering from Northeastern University, Shenyang, China, in 2013, and the Ph.D. degree in systems and control from the University of Groningen, Groningen, The Netherlands, in 2018. He was a Postdoctoral Researcher with the Tokyo Institute of Technology, Tokyo, Japan, in 2019, and the University of Groningen from 2020 to 2021. He is an Associate Professor with the School of Automation, Nanjing University of Science and Technology, Nanjing, China. His research interests include security of cyber–physical systems, networked control systems, and control o...
Publications
11
Citations
189
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (13)
Author's Published Works

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Quantized distributed Nash equilibrium seeking under DoS attacks

Shuai Feng;Maojiao Ye;Lihua Xie;Shengyuan Xu

IEEE Transactions on Control of Network Systems
Year: 2025 | Early Access Article |
This paper studies distributed Nash equilibrium (NE) seeking under Denial-of-Service (DoS) attacks and quantization. The players can only exchange information with their own direct neighbors. The transmitted information is subject to quantization and packet losses induced by malicious DoS attacks. We propose a quantized distributed NE seeking strategy based on the approach of dynamic quantized con...Show More

Quantized distributed Nash equilibrium seeking under DoS attacks

Shuai Feng;Maojiao Ye;Lihua Xie;Shengyuan Xu

Year: 2025 | Early Access Article |

Dynamic Quantized Consensus Under DoS Attacks: Towards a Tight Zooming-Out Factor

Shuai Feng;Maopeng Ran;Hideaki Ishii;Shengyuan Xu

IEEE Transactions on Control of Network Systems
Year: 2024 | Volume: 11, Issue: 1 | Journal Article |
Cited by: Papers (5)
This article deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by denial-of-service (DoS) attacks. The communication channel has limited bandwidth and hence the transmitted signals over the network are subject to quantization. To deal with the agent's output, an observer is implemented at each node. The state of the observer is quantized by a ...Show More

Dynamic Quantized Consensus Under DoS Attacks: Towards a Tight Zooming-Out Factor

Shuai Feng;Maopeng Ran;Hideaki Ishii;Shengyuan Xu

Year: 2024 | Volume: 11, Issue: 1 | Journal Article |

An Integrated Human–Cyber–Physical Framework for Control of Microgrids

Shuai Feng;Michele Cucuzzella;Thijs Bouman;Linda Steg;Jacquelien M. A. Scherpen

IEEE Transactions on Smart Grid
Year: 2023 | Volume: 14, Issue: 5 | Journal Article |
Cited by: Papers (3)
In this paper, to jointly study the energy dynamic behavior of humans and the corresponding physical dynamics of the microgrid, we bridge two disciplines: systems & control and environmental psychology. Firstly, we develop second order motivation-behavior mathematical models inspired by opinion dynamics models for describing and predicting human activities related to the use of energy, where psych...Show More

An Integrated Human–Cyber–Physical Framework for Control of Microgrids

Shuai Feng;Michele Cucuzzella;Thijs Bouman;Linda Steg;Jacquelien M. A. Scherpen

Year: 2023 | Volume: 14, Issue: 5 | Journal Article |

Quantized Consensus Under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Maopeng Ran;Shuai Feng;Juncheng Li;Lihua Xie

IEEE Transactions on Automatic Control
Year: 2023 | Volume: 68, Issue: 9 | Journal Article |
Cited by: Papers (12)
This article is concerned with the quantized consensus problem for uncertain nonlinear multiagent systems under data-rate constraints and denial-of-service (DoS) attacks. The agents are modeled in strict-feedback form with unknown nonlinear dynamics and external disturbance. Extended state observers (ESOs) are leveraged to estimate agents' total uncertainties along with their states. To mitigate t...Show More

Quantized Consensus Under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Maopeng Ran;Shuai Feng;Juncheng Li;Lihua Xie

Year: 2023 | Volume: 68, Issue: 9 | Journal Article |

Dynamic Quantized Consensus of General Linear Multiagent Systems Under Denial-of-Service Attacks

Shuai Feng;Hideaki Ishii

IEEE Transactions on Control of Network Systems
Year: 2022 | Volume: 9, Issue: 2 | Journal Article |
Cited by: Papers (37)
In this article, we study multiagent consensus problems under Denial-of-Service (DoS) attacks with data rate constraints. We first consider the leaderless consensus problem and after that we briefly present the analysis of leader–follower consensus. The dynamics of the agents take general forms modeled as homogeneous linear time-invariant systems. In our analysis, we derive lower bounds on the dat...Show More

Dynamic Quantized Consensus of General Linear Multiagent Systems Under Denial-of-Service Attacks

Shuai Feng;Hideaki Ishii

Year: 2022 | Volume: 9, Issue: 2 | Journal Article |

Resilient Quantized Control under Denial-of-Service with the Application of Variable Bit Rate Quantization

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

2021 European Control Conference (ECC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In this paper, we investigate a networked control problem in the presence of Denial-of-Service (DoS) attacks, which prevent transmissions over the communication network. The communication between the process and controller is also subject to bit rate constraints. For mitigating the influences of DoS attacks and bit rate constraints, we develop a variable bit rate (VBR) encoding-decoding protocol a...Show More

Resilient Quantized Control under Denial-of-Service with the Application of Variable Bit Rate Quantization

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

Year: 2021 | Conference Paper |

Networked Control Under DoS Attacks: Tradeoffs Between Resilience and Data Rate

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

IEEE Transactions on Automatic Control
Year: 2021 | Volume: 66, Issue: 1 | Journal Article |
Cited by: Papers (82)
In this article, we study communication-constrained networked control problems for linear time-invariant systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. Our article aims at exploring the tradeoffs between system resilience and network bandwidth capacity. Given a class of DoS attacks, we characterize the bit-rate ...Show More

Networked Control Under DoS Attacks: Tradeoffs Between Resilience and Data Rate

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

Year: 2021 | Volume: 66, Issue: 1 | Journal Article |

Dynamic Quantized Leader-follower Consensus under Denial-of-Service Attacks

Shuai Feng;Hideaki Ishii

2020 59th IEEE Conference on Decision and Control (CDC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
This paper investigates the multi-agent leader- follower consensus problem under Denial-of-Service (DoS) attacks with data rate constraints. In our analysis, we first derive a lower bound on the data rate for the leader-follower consensus problem, which can guarantee the quantizers of the leader and followers do not overflow at any time, even in the presence of DoS attacks. The main contribution o...Show More

Dynamic Quantized Leader-follower Consensus under Denial-of-Service Attacks

Shuai Feng;Hideaki Ishii

Year: 2020 | Conference Paper |

Networked Control under DoS Attacks: Trade-off between Resilience and Data Rate

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

2019 American Control Conference (ACC)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
We study communication-constrained networked control problems for linear time-invariant systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. Our work aims at exploring the relationship between system resilience and network bandwidth. Given a class of DoS attacks, we characterize the bit-rate bounds that are dependent ...Show More

Networked Control under DoS Attacks: Trade-off between Resilience and Data Rate

Shuai Feng;Ahmet Cetinkaya;Hideaki Ishii;Pietro Tesi;Claudio De Persis

Year: 2019 | Conference Paper |

Towards stabilization of distributed systems under denial-of-service

Shuai Feng;Pietro Tesi;Claudio De Persis

2017 IEEE 56th Annual Conference on Decision and Control (CDC)
Year: 2017 | Conference Paper |
Cited by: Papers (17)
In this paper, we consider networked distributed systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. First, we consider a simple and typical scenario where communication sequence is purely Round-robin and we explicitly calculate a bound of attack frequency and duration under which the interconnected large-scale syste...Show More

Towards stabilization of distributed systems under denial-of-service

Shuai Feng;Pietro Tesi;Claudio De Persis

Year: 2017 | Conference Paper |

Resilient control under Denial-of-Service: Robust design

Shuai Feng;Pietro Tesi

2016 American Control Conference (ACC)
Year: 2016 | Conference Paper |
Cited by: Papers (18)
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 achie...Show More

Resilient control under Denial-of-Service: Robust design

Shuai Feng;Pietro Tesi

Year: 2016 | Conference Paper |

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