Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 907
- Type
- D - Journal article
- DOI
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10.1109/tnnls.2015.2456972
- Title of journal
- IEEE Transactions on Neural Networks and Learning Systems
- Article number
- -
- First page
- 2563
- Volume
- 26
- Issue
- 10
- ISSN
- 2162-237X
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- 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
-
2
- Research group(s)
-
-
- Citation count
- 214
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work addresses tracking in strict feedback control systems in the presence of unknown dynamics. The significance of this work is that it proposes a novel solution that is computationally efficient and can be applied to hypersonic flight vehicle tracking with its specific requirements. In addition it provides global uniform accuracy bounds for all signals that can be guaranteed analytically.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -