5 citations · 9 across the 11 of their papers we have counts for
11 papers
Hierarchical Variational Kalman Filtering
Shilei Li, Dawei Shi, Wei Zheng +1
Traditional variational Kalman filtering with unknown noise statistics suffers from inconsistent process covariance estimation and slow convergence speed, limiting its practical ut…
Event-Triggered Resilient Consensus of Networked Euler-Lagrange Systems Under Byzantine Attacks
Yuliang Fu, Guanghui Wen, Dan Zhao +2
The resilient consensus problem is investigated in this paper for a class of networked Euler-Lagrange systems with event-triggered communication in the presence of Byzantine attack…
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems
Xuening Tang, Xianghui Cao, Wei Xing Zheng
As networked control systems continue to evolve, ensuring the privacy of sensitive data becomes an increasingly pressing concern, especially in situations where the controller is p…
A Lightweight Sensor Scheduler Based on AoI Function for Remote State Estimation over Lossy Wireless Channels
Taige Chang, Xianghui Cao, Wei Xing Zheng
This paper investigates the problem of sensor scheduling for remotely estimating the states of heterogeneous dynamical systems over resource-limited and lossy wireless channels. Co…
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems with Unknown Inputs
He Kong, Salah Sukkarieh, Travis J. Arnold +3
Most existing works on optimal filtering of linear time-invariant (LTI) stochastic systems with arbitrary unknown inputs assume perfect knowledge of the covariances of the noises i…
Distributed Algorithm Over Time-Varying Unbalanced Topologies for Optimization Problem Subject to Multiple Local Constraints
Hongzhe Liu, Wenwu Yu, Guanghui Wen +1
This paper studies the distributed optimization problem with possibly nonidentical local constraints, where its global objective function is composed of convex functions. The a…
The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable Using Autocovariance Least-squares
He Kong, Salah Sukkarieh, Travis J. Arnold +2
Existing works in optimal filtering for linear Gaussian systems with arbitrary unknown inputs assume perfect knowledge of the noise covariances in the filter design. This is imprac…
Dissipative Control of General Linear Time-Delay Systems: Applications of the Kronecker-Seuret Decomposition
Qian Feng, Wei Xing Zheng, Feng Xiao +1
Stabilizing autonomous linear time delay systems, particularly when addressing an unlimited number of pointwise and distributed delays (DDs) under dissipative constraints, poses a…
Modeling and Detecting Communities in Node Attributed Networks
Ren Ren, Jinliang Shao, Adrian N. Bishop +1
As a fundamental structure in real-world networks, in addition to graph topology, communities can also be reflected by abundant node attributes. In attributed community detection,…
Measuring Network Robustness by Average Network Flow
Weisheng Si, Balume Mburano, Wei Xing Zheng +1
Infrastructure networks such as the Internet backbone and power grids are essential for our everyday lives. With the prevalence of cyber-attacks on them, measuring their robustness…
A General Control Framework for Boolean Networks
Shiyong Zhu, Jianquan Lu, Shun-ichi Azuma +1
This paper focuses on proposing a general control framework for large-scale Boolean networks (\texttt{BNs}). Only by the network structure, the concept of structural controllabilit…