Deadness and how to disprove liveness in hybrid dynamical systems
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 40102000
- Type
- D - Journal article
- DOI
-
10.1016/j.tcs.2016.06.009
- Title of journal
- Theoretical Computer Science
- Article number
- -
- First page
- 1
- Volume
- 642
- Issue
- -
- ISSN
- 0304-3975
- Open access status
- Compliant
- Month of publication
- June
- 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
-
1
- Research group(s)
-
A - Computer Science
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Proposes a novel computational framework to automatically prove dynamical properties of complex nonlinear dynamical systems for which analytic proof is difficult or impossible to obtain.
Paper represents a paradigm shift in automated verification due to the dynamically-driven verification method - guided by properties of the dynamics of the hybrid automata."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
