activity
20202026
most citedObservation of Periodic Systems: Bridge Centralized Kalman Filtering and Consensus-Based Distributed Filtering

1 citations · 2 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SP2026

Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks

Xinhua Liu, Yueqing Wang, Keke Ying +7

Grant-Free (GF) random access is promising for low Earth orbit satellite Internet due to its reduced access latency. However, existing schemes suffer from poor performance in massi…

eess.SY2026

Data-Driven Moving Horizon Estimators for Linear Systems with Sample Complexity Analysis

Peihu Duan, Jiabao He, Yuezu Lv +1

This paper investigates the state estimation problem for linear systems subject to Gaussian noise, where the model parameters are unknown. By formulating and solving an optimizatio…

eess.SY2025

An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems

Suyang Hu, Xiaoxu Lyu, Peihu Duan +2

This article investigates the problem of data-driven state estimation for linear systems with both unknown system dynamics and noise covariances. We propose an Autocovariance Least…

eess.SY2024

Secure State Estimation of Cyber-Physical Systems via Gaussian Bernoulli Mixture Model

Xingzhou Chen, Nachuan Yang, Peihu Duan +2

The implementation of cyber-physical systems in real-world applications is challenged by safety requirements in the presence of sensor threats. Most cyber-physical systems, especia…

eess.SY2024

Performance Analysis of Distributed Filtering under Mismatched Noise Covariances

Xiaoxu Lyu, Guanghui Wen, Ling Shi +2

This paper systematically investigates the performance of consensus-based distributed filtering under mismatched noise covariances. First, we introduce three performance evaluation…

eess.SY2023

Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization

Peihu Duan, Tao Liu, Yu Xing +1

This paper investigates the state estimation problem for unknown linear systems subject to both process and measurement noise. Based on a prior input-output trajectory sampled at a…

eess.SY2023

A Framework on Fully Distributed State Estimation and Cooperative Stabilization of LTI Plants

Peihu Duan, Yuezu Lv, Guanghui Wen +1

How to realize high-level autonomy of individuals is one of key technical issues to promote swarm intelligence of multi-agent (node) systems with collective tasks, while the fully…

eess.SY2023

On the Effects and Optimal Design of Redundant Sensors in Collaborative State Estimation

Yunxiao Ren, Zhisheng Duan, Peihu Duan +1

The existence of redundant sensors in collaborative state estimation is a common occurrence, yet their true significance remains elusive. This paper comprehensively investigates th…

eess.SY2023

Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents

Peihu Duan, Tao Liu, Yuezu Lv +1

Cooperative behavior design for multi-agent systems with collective tasks is a critical issue in promoting swarm intelligence. This paper investigates cooperative control for a mul…

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.SP2022★ 1 cited

Harmonic-Copuled Riccati Equations and its Applications in Distributed Filtering

Jiachen Qian, Peihu Duan, Zhisheng Duan +1

The coupled Riccati equations are cosisted of multiple Riccati-like equations with solutions coupled with each other, which can be applied to depict the properties of more complex…

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…

eess.SY2022

Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework

Peihu Duan, Lidong He, Lingying Huang +2

This paper investigates sensor scheduling for state estimation of complex networks over shared transmission channels. For a complex network of dynamical systems, referred to as nod…

eess.SY2021

Consensus-Based Distributed Filtering with Fusion Step Analysis

Jiachen Qian, Peihu Duan, Zhisheng Duan +2

For consensus on measurement-based distributed filtering (CMDF), through infinite consensus fusion operations during each sampling interval, each node in the sensor network can ach…

cs.MA2021

Linear Quadratic Regulator Design for Multi-input Systems with A Distributed Cooperative Strategy

Peihu Duan, Lidong He, Zhisheng Duan +1

In this paper, a cooperative Linear Quadratic Regulator (LQR) problem is investigated for multi-input systems, where each input is generated by an agent in a network. The input mat…

eess.SY2020

A Distributed Optimization Scheme for State Estimation of Nonlinear Networks with Norm-bounded Uncertainties

Peihu Duan, Qishao Wang, Zhisheng Duan +1

This paper investigates the state estimation problem for a class of complex networks, in which the dynamics of each node is subject to Gaussian noise, system uncertainties and nonl…