collaborators

5 papers

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

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…

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…