activity
20222026
most citedData-Driven Control of Distributed Event-Triggered Network Systems

170 citations · 330 across the 27 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

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.SY2023★ 1 cited

Self-triggered Consensus Control of Multi-agent Systems from Data

Yifei Li, Xin Wang, Jian Sun +2

This paper considers self-triggered consensus control of unknown linear multi-agent systems (MASs). Self-triggering mechanisms (STMs) are widely used in MASs, thanks to their advan…

cs.LG2023★ 8 cited

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Weipu Zhang, Gang Wang, Jian Sun +2

Recently, model-based reinforcement learning algorithms have demonstrated remarkable efficacy in visual input environments. These approaches begin by constructing a parameterized s…

cs.LG2023

Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL

Yechen Zhang, Jian Sun, Gang Wang +2

Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. How…

eess.SY2023

Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data

Yifei Li, Wenjie Liu, Jian Sun +3

This paper proposes a novel approach to addressing the output synchronization problem in unknown heterogeneous multi-agent systems (MASs) using noisy data. Unlike existing studies…

cs.LG2023★ 2 cited

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

Runqing Wang, Gang Wang, Jian Sun +2

Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple machi…

cs.RO2023★ 1 cited

Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight

Ziyu Zhou, Gang Wang, Jian Sun +2

Agile quadrotor flight relies on rapidly planning and accurately tracking time-optimal trajectories, a technology critical to their application in the wild. However, the computatio…

eess.SY2023★ 1 cited

Learning Robust Data-based LQG Controllers from Noisy Data

Wenjie Liu, Jian Sun, Gang Wang +2

This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign…

cs.CV2023★ 4 cited

EdgeYOLO: An Edge-Real-Time Object Detector

Shihan Liu, Junlin Zha, Jian Sun +2

This paper proposes an efficient, low-complexity and anchor-free object detector based on the state-of-the-art YOLO framework, which can be implemented in real time on edge computi…

eess.SY2023★ 1 cited

Self-triggered Resilient Stabilization of Linear Systems with Quantized Output

Wenjie Liu, Masashi Wakaiki, Jian Sun +2

This paper studies the problem of stabilizing a self-triggered control system with quantized output. Employing a standard observer-based state feedback control law, a self-triggeri…

cs.RO2023★ 1 cited

Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors

Boyuan Deng, Jian Sun, Zhuo Li +1

Continuous trajectory tracking control of quadrotors is complicated when considering noise from the environment. Due to the difficulty in modeling the environmental dynamics, track…