activity
20072024
most citedDesigning Fully Distributed Consensus Protocols for Linear Multi-agent Systems with Directed Graphs

1.1k citations · 2.3k across the 33 of their papers we have counts for

collaborators

33 papers

math.OC2024

Observer-Based Event-Triggered Secure Consensus Control for Multi-Agent Systems

Jingyao Wang, Zeqin Zeng, Jinghua Guo +1

This study delves into the intricate challenges encountered by multi-agent systems (MASs) operating within environments that are subject to deception attacks and Markovian randomly…

eess.SP2023★ 1 cited

Observation of Periodic Systems: Bridge Centralized Kalman Filtering and Consensus-Based Distributed Filtering

Jiachen Qian, Zhisheng Duan, Peihu Duan +1

Compared with linear time invariant systems, linear periodic system can describe the periodic processes arising from nature and engineering more precisely. However, the time-varyin…

eess.SY2022★ 1 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.SY2022★ 2 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…

math.OC2022

Discernibility of topological variations for networked LTI systems based on observed output trajectories

Yuqing Hao, Qingyun Wang, Zhisheng Duan +1

In this paper, the possibility of detecting topological variations by observing output trajectories from networked linear time-invariant systems is investigated, where the network…

eess.SP2022

Stochastic Event-triggered Variational Bayesian Filtering

Xiaoxu Lv, Peihu Duan, Zhisheng Duan +2

This paper proposes an event-triggered variational Bayesian filter for remote state estimation with unknown and time-varying noise covariances. After presetting multiple nominal pr…