Consensus-Based Linear and Nonlinear Filtering

By Giorgio Battistelli, Luigi Chisci, Giovanni Mugnai, Alfonso Farina, Antonio Graziano. IEEE Transactions on Automatic Control, 2015

415 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/bd52592f98ca0677f4419eb63df13eb0363dfffe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qing-Long Han
2. Derui Ding
3. Xiaohua Ge
4. Zidong Wang
5. Giorgio Battistelli
6. Luigi Chisci
7. Xianming Zhang
8. Lei Ding

In Computer Networks and Communications

1. Qing-Long Han
2. Derui Ding
3. Xiaohua Ge
4. Zidong Wang
5. Xianming Zhang
6. Giorgio Battistelli
7. Luigi Chisci
8. Lei Ding

Citations in the corpus

• Stability of consensus extended Kalman filter for distributed state estimation (2016, methodology): “Then, the recursive information filter of Table 1 can be derived (Battistelli et al., 2015), where W and V, i ∈ N , are given positive definite matrices.”
• A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems (2019, methodology): “1) Algorithm 1: Kalman-consensus filtering Inspired by the result in [11], a two-stage Kalman-consensus filtering algorithm is developed in [12].”