44 citations · 53 across the 11 of their papers we have counts for
13 papers
Depth-Semantic Alignment and Affinity-Guided Fusion for Structured Radar Point Cloud Generation
Amjad Hussain, Wenjie Liu, Yuchen Tan +4
Point clouds are an important carrier of three-dimensional spatial information, and their quality directly affects the performance of downstream perception tasks such as object det…
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…
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…
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…
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…
Output regulation via input-output data
Andrea Bisoffi, Wenjie Liu, Zhongjie Hu +1
From a multi-input-multi-output (MIMO) discrete-time linear system, we collect input-output data affected by noise in the form of an unknown exosignal and, from these data points (…
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…
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…
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…
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…
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…
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…
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,…