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20212026
most citedResilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

44 citations · 53 across the 11 of their papers we have counts for

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11 papers · 1 filter

eess.SY2026

Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees

Wenjie Liu, Yifei Li, Gang Wang +1

In this paper, we provide a theoretical analysis of the closed-loop properties of a data-driven kernel-based predictive control (DDKPC) scheme developed solely from input-output da…

eess.SY2026

Data-Driven Robust MPC for Unknown Nonlinear Systems via Set-Membership Learning

Yuzhou Wei, Wenjie Liu, Yifan Xie +3

Data-driven model predictive control (MPC) has become an attractive approach for controlling unknown systems, especially when data are corrupted by noise. However, most existing da…

eess.SY2026

Robust Data-Driven Nash Equilibrium Seeking under Partial-Decision Information

Linqi Wang, Yifei Li, Wenjie Liu +3

This paper presents a data-driven framework for decentralized Nash equilibrium (NE) seeking in multi-agent systems with unknown linear dynamics subject to exogenous disturbances, o…

eess.SY2026

Data-Driven Frequency-Selective Output Regulation of Nonlinear Systems under Almost Periodic Exosignals

Yifei Li, Wenjie Liu, Gang Wang +1

This paper studies output regulation for a class of unknown continuous-time nonlinear systems driven by almost periodic exosignals. The plant dynamics are assumed to be linearly pa…

eess.SY2025

Learning event-triggered controllers for linear parameter-varying systems from data

Renjie Ma, Su Zhang, Wenjie Liu +2

Nonlinear dynamical behaviors in engineering applications can be approximated by linear-parameter varying (LPV) representations, but obtaining precise model knowledge to develop a…

eess.SY2025

Data-driven Internal Model Control for Output Regulation

Wenjie Liu, Yifei Li, Jian Sun +4

Output regulation is a fundamental problem in control theory, extensively studied since the 1970s. Traditionally, research has primarily addressed scenarios where the system model…

eess.SY2024

Distributed Data-driven Unknown-input Observers for State Estimation

Yuzhou Wei, Giorgia Disarò, Wenjie Liu +3

Unknown inputs related to, e.g., sensor aging, modeling errors, or device bias, represent a major concern in wireless sensor networks, as they degrade the state estimation performa…

eess.SY2023★ 1 cited

Robust Control of Unknown Switched Linear Systems from Noisy Data

Wenjie Liu, Yifei Li, Jian Sun +2

This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics. In the absence of noise, a data-based st…

eess.SY2023★ 3 cited

Data-driven Control Against False Data Injection Attacks

Wenjie Liu, Lidong Li, Jian Sun +3

The rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-o…

eess.SY2021★ 5 cited

Data-Driven Resilient Predictive Control under Denial-of-Service

Wenjie Liu, Jian Sun, Gang Wang +2

The study of resilient control of linear time-invariant (LTI) systems against denial-of-service (DoS) attacks is gaining popularity in emerging cyber-physical applications. In prev…

eess.SY2021★ 44 cited

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

Wenjie Liu, Jian Sun, Gang Wang +2

This paper is concerned with the problem of stabilizing continuous-time linear time-invariant systems subject to quantization and Denial-of-Service (DoS) attacks. In this context,…