Stability of Kalman filtering with Markovian packet losses

By Minyi Huang, Subhrakanti Dey. at - Automatisierungstechnik, 2007

441 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/162174dc206fd90b711d8f0f698e2e982bf04844

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

1. Jiahu Qin
2. Ling Shi
3. Xinghuo Yu
4. Peng Shi
5. Menglin Li
6. Richard M. Murray
7. Fanbiao Li
8. Reza Olfati-Saber

In Control and Systems Engineering

1. Fanbiao Li
2. Ling Shi
3. Peng Shi
4. Xinghuo Yu
5. Jiahu Qin
6. Menglin Li
7. Richard M. Murray
8. Wei Ren

Citations in the corpus

• Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective (2010, background): “Huang and Dey [14] considered Kalman filtering over a packet-dropping network where data packet drops are described by a two-state Markov chain.”
• Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks (2018, methodology): “) Bernoulli process [22]–[24] or a time-homogeneous binary Markov process [25], [26].”
• A survey on Markovian jump systems: Modeling and design (2015, methodology): “One framework for the analysis and design of NCSs with packet losses is the offline framework, where the controller is designed despite any situation of real packet losses[109-111].”
• Stochastic consensus over noisy networks with Markovian and arbitrary switches (2010, unknown): “(3) Similar loss models have been studied in distributed filtering problems; see, e.g., Huang and Dey (2007), Sinopoli et al. (2004) and Smith and Seiler (2003).”