4 papers
Data-Driven Co-Design of Event-Triggered and Sparse Control for Resource-Aware Networked Control Systems
Zhaohua Yang, Xiaoxu Lyu, Dawei Shi +1
This paper investigates the data-driven co-design of event-triggered control (ETC) and sparse control (SC) for networked control systems (NCSs) with unknown linear dynamics. While…
Distributed State Estimation for Discrete-Time Linear Systems over Directed Graphs: A Measurement Perspective
Xiaoxu Lyu, Guanghui Wen, Yuezu Lv +2
This paper proposes a novel consensus-based distributed filter over directed graphs under the collectively observability condition. The distributed filter is designed using an augm…
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…
On the Effects of Modeling Errors on Distributed Continuous-time Filtering
Xiaoxu Lyu, Shilei Li, Dawei Shi +1
This paper offers a comprehensive performance analysis of the distributed continuous-time filtering in the presence of modeling errors. First, we introduce two performance indices,…