activity
20192026
most citedProbabilistic Predictability of Stochastic Dynamical Systems

2 citations · 5 across the 13 of their papers we have counts for

collaborators
Showing eess.SYShow all

9 papers · 1 filter

eess.SY2026

Topology Inference for Immune System Networks by Using Cell Amount Data

Yushan Li, Rikard Forlin, Dimos V. Dimarogonas +1

Recent years have witnessed the advanced development of topology inference research, which helps elucidate the interaction relationships of components in many biological networks.…

eess.SY2026

Fundamental Limitations of Data-Driven Control: A Statistical Decision Perspective

Jiabao He, Feiran Zhao, Yushan Li +3

Substantial research efforts have been devoted to the design of data-driven controllers; however, comparatively less is known about their statistical performance and fundamental li…

eess.SY2025

Resistant Topology Inference in Consensus Networks: A Feedback-Based Design

Yushan Li, Jiabao He, Dimos V. Dimarogonas

Consensus networks are widely deployed in numerous civil and industrial applications. However, the process of reaching a common consensus among nodes can unintentionally reveal the…

eess.SY2025

Inverse Inference on Cooperative Control of Networked Dynamical Systems

Yushan Li, Jianping He, Dimos V. Dimarogonas

Recent years have witnessed the rapid advancement of understanding the control mechanism of networked dynamical systems (NDSs), which are governed by components such as nodal dynam…

eess.SY2023

Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design

Yushan Li, Zitong Wang, Jianping He +2

Preserving the topology from being inferred by external adversaries has become a paramount security issue for network systems (NSs), and adding random noises to the nodal states pr…

eess.SY2022★ 1 cited

I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks

Jianping He, Yushan Li, Lin Cai +1

Recent years have witnessed the fast advance of security research for networked dynamical system (NDS). Considering the latest inference attacks that enable stealthy and precise at…

eess.SY2022

Local Topology Inference of Mobile Robotic Networks under Formation Control

Yushan Li, Jianping He, Lin Cai +1

The interaction topology is critical for efficient cooperation of mobile robotic networks (MRNs). We focus on the local topology inference problem of MRNs under formation control,…

eess.SY2021

Sneak Attack against Mobile Robotic Networks under Formation Control

Yushan Li, Jianping He, Xuda Ding +2

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper demonstrates that the observable interaction process of MRNs under form…

eess.SY2020★ 1 cited

Topology Inference for Network Systems with Unknown Inputs

Qing Jiao, Yushan Li, Jianping He

Topology inference is a powerful tool to better understand the behaviours of network systems (NSs). Different from most of prior works, this paper is dedicated to inferring the dir…