Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements
- Submitting institution
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University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4190091
- Type
- D - Journal article
- DOI
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10.1016/j.automatica.2020.108908
- Title of journal
- Automatica
- Article number
- 108908
- First page
- -
- Volume
- 115
- Issue
- May 2020
- ISSN
- 0005-1098
- Open access status
- Not compliant
- Month of publication
- May
- Year of publication
- 2020
- 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
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4
- Research group(s)
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C - Centre for Automotive and Power Systems Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Networks are IT infrastructure for information sharing, promoting the continuous development of science, technology and human society. In a networked infrastructure, the phenomenon of switching topologies and missing measurements is unavoidable and would often degrade its performance seriously. The event-triggered recursive state estimation method proposed in the paper provides accurate state estimation for dynamical networks under randomly switching topologies and multiple missing measurements. This world leading research work published in top 1 journal in automation has resulted in J.Williams’ research projects on networked energy monitoring and management funded by Welsh Government and European Union.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -