2 citations · 5 across the 13 of their papers we have counts for
13 papers
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.…
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…
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…
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…
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…
Inferring Topology of Networked Dynamical Systems by Active Excitations
Yushan Li, Jianping He, Cailian Chen +1
Topology inference for networked dynamical systems (NDSs) has received considerable attention in recent years. The majority of pioneering works have dealt with inferring the topolo…
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…
Probabilistic Predictability of Stochastic Dynamical Systems
Tao Xu, Yushan Li, Jianping He
To assess the quality of a probabilistic prediction for stochastic dynamical systems (SDSs), scoring rules assign a numerical score based on the predictive distribution and the mea…
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,…
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…
Topology Inference for Network Systems: Causality Perspective and Non-asymptotic Performance
Yushan Li, Jianping He, Cailian Chen +1
Topology inference for network systems (NSs) plays a crucial role in many areas. This paper advocates a causality-based method based on noisy observations from a single trajectory…
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…
Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance
Yushan Li, Jianping He, Cailian Chen +1
The security issue of mobile robots has attracted considerable attention in recent years. In this paper, we propose an intelligent physical attack to trap mobile robots into a pres…