5 papers · 1 filter
Event-triggered Dual Gradient Tracking for Distributed Resource Allocation
Xiayan Xu, Xiaomeng Chen, Dawei Shi +1
High communication costs create a major bottleneck for distributed resource allocation over unbalanced directed networks. Conventional dual gradient tracking methods, while effecti…
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…
Event-triggered Observability: A Set-membership Perspective
Kaikai Zheng, Dawei Shi, Tongwen Chen
This work attempts to discuss the observability of linear time-invariant systems with event-triggered measurements. A new notion of observability, namely, -observability is defi…
Learning Hidden Markov Models for Linear Gaussian Systems with Applications to Event-based State Estimation
Kaikai Zheng, Dawei Shi, Ling Shi
This work attempts to approximate a linear Gaussian system with a finite-state hidden Markov model (HMM), which is found useful in solving sophisticated event-based state estimatio…
Secure Analysis of Dynamic Networks under Pinning Attacks against Synchronization
Yuzhe Li, Dawei Shi, Tongwen Chen
In this paper, we first consider a pinning node selection and control gain co-design problem for complex networks. A necessary and sufficient condition for the synchronization of t…