From Dissipativity Theory to Compositional Construction of Finite Markov Decision Processes
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 261358-227916-1292
- Type
- E - Conference contribution
- DOI
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10.1145/3178126.3178135
- Title of conference / published proceedings
- Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)
- First page
- 21
- Volume
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- Issue
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- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2018
- URL
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https://doi.org/10.1145/3178126.3178135
- Supplementary information
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- Request cross-referral to
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- 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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2
- Research group(s)
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A - Advanced Model-Based Engineering and Reasoning (AMBER)
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Analysing large-scale systems can be difficult due to the need for large computational power. This paper creates a new research paradigm to ‘decompose’ systems into smaller subsystems, allowing for the design of local controllers which can then be composed back together. The international collaboration (Newcastle and Munich) led to PhD student Lavaei becoming a finalist for the Young Author Award at the IFAC Symposium. The work is being developed further by researchers at the University of Colorado and Ludwig Maximillian University of Munich. Funded by German Research Foundation (ZA 873/1-1, £286,000). Further work is published in Automatica and IEEE TAC.
- Author contribution statement
- -
- Non-English
- No
- English abstract
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