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