Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case
By Bo Shen, Zidong Wang, Yeung Sam Hung. at - Automatisierungstechnik, 2010
482 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/3bde2cee6f1d0d33309bb7b1000b21afd065ecf2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
Citations in the corpus
- Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “Lemma 1: [30] Let S={S̄ = [Sij ]N ns ×N ny |Sij ∈Rns ×ny , Sij = 0 if j ∈ Ni} be the set of sparse matrices and P = diag{P1 , P2 , .”
- A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks (2020, background): “For example, a filtering criterion, called distributed H∞consensus, has been proposed in [36] for discrete-time-varying systems over a finite horizon by developing an effective approach based on difference linear matrix inequalities.”
- A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks (2019, unknown): “In [11]–[16], some typical network-induced phenomena such as data packet dropouts, link failures, redundant channels, and switching topologies were incorporated in the proposed distributed H∞ estimation frameworks for various systems.”
- Distributed H∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks (2013, unknown): “, [18], [25], and the references therein.”