Biohybrid control of general linear systems using the adaptive filter model of cerebellum
- Submitting institution
-
The University of Bath
- Unit of assessment
- 12 - Engineering
- Output identifier
- 196622627
- Type
- D - Journal article
- DOI
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10.3389/fnbot.2015.00005
- Title of journal
- Frontiers in Neurorobotics
- Article number
- 5
- First page
- -
- Volume
- 9
- Issue
- -
- ISSN
- 1662-5218
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- 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
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper demonstrated for the first time that dielectric elastomer actuators displacement can be accurately controlled using the adaptive filter model of cerebellum, thereby enabling the use of these technologies on robotic platforms.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -