Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 046-180938-5807
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2017.2740309
- Title of journal
- Ieee Transactions On Cybernetics
- Article number
- -
- First page
- 2437
- Volume
- 48
- Issue
- 8
- ISSN
- 2168-2267
- Open access status
- Deposit exception
- Month of publication
- September
- Year of publication
- 2017
- URL
-
https://bura.brunel.ac.uk/handle/2438/21745
- 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
- 63
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, which has been published in the No. 1 journal (out of 22) in computer science (cybernetics) according to ISI Web of knowledge, represents the first-ever attempt to develop coding-decoding-based approach for synchronizing discrete-time complex networks, investigate how the packet dropouts impact on the synchronization behaviours, and examine how such behaviours can be controlled. Latest convex analysis and stochastic analysis tools have been successfully applied and rigorous mathematical contributions have been made to the synchronization analysis issue. In particular, the way of proving the stochastically exponential synchronization in Theorems 1-2 has been quickly adopted in many later papers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
