activity
20202022
most citedDistributed adaptive stabilization

17 citations · 23 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY20221 cited

DiscreteCommunication and ControlUpdating in Event-Triggered Consensus

Bin Cheng, Yuezu Lv, Zhongkui Li +1

This paper studies the consensus control problem faced with three essential demands, namely, discrete control updating for each agent, discrete-time communications among neighborin…

eess.SY20222 cited

Minimal-order Appointed-time Unknown Input Observers: Design and Applications

Yuezu Lv, Zhongkui Li, Zhisheng Duan

This paper presents a framework on minimal-order appointed-time unknown input observers for linear systems based on the pairwise observer structure. A minimal-order appointed-time…

eess.SY20222 cited

Distributed Optimal Control with Recovered Robustness for Uncertain Network Systems: A Complementary Design Approach

Zhongkui Li, Junjie Jiao, Xiang Chen

This paper considers the distributed robust suboptimal consensus control problem of linear multi-agent systems, with both H2 and H_infty performance requirements. A novel two-step…

eess.SY2022

An Operator-Theoretic Approach to Robust Event-Triggered Control of Network Systems with Frequency-Domain Uncertainties

Shiqi Zhang, Zhongkui Li

In this paper, we study the robustness of the event-triggered consensus algorithms against frequency-domain uncertainties. It is revealed that the sampling errors resulted by event…

eess.SY2022

Robust Event-Based Control: Bridge Time-Domain Triggering and Frequency-Domain Uncertainties

Shiqi Zhang, Zhongkui Li

This paper considers the robustness of event-triggered control of general linear systems against additive or multiplicative frequency-domain uncertainties. It is revealed that in s…

eess.SY20211 cited

Privacy-Preserved Average Consensus Algorithms with Edge-based Additive Perturbations

Yi Xiong, Zhongkui Li

In this paper, we consider the privacy preservation problem in both discrete- and continuous-time average consensus algorithms with strongly connected and balanced graphs, against…