State Estimation for Discrete-Time Dynamical Networks with Time-Varying Delays and Stochastic Disturbances under the Round-Robin Protocol
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 041-177257-7002897
- Type
- D - Journal article
- DOI
-
10.1109/TNNLS.2016.2524621
- Title of journal
- Ieee Transactions On Neural Networks And Learning Systems
- Article number
- -
- First page
- 1139
- Volume
- 28
- Issue
- 5
- ISSN
- 2162-237X
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 108
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper has been published in the best journal on neural networks. This is the first-ever paper that specifically deals with the state estimation problem for discrete-time complex networks subject to communication protocol scheduling. A fundamental challenge has been elegantly handled, namely, how to deal with the effects induced by protocol scheduling. The paper has attracted persistent research attention from the international community, and is recognised as a Highly Cited Paper on the Web of Science.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
