Optimized adaptive tracking control for an underactuated vibro-driven capsule system
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 26 - 1357727
- Type
- D - Journal article
- DOI
-
10.1007/s11071-018-4458-9
- Title of journal
- Nonlinear Dynamics
- Article number
- -
- First page
- 1803
- Volume
- 94
- Issue
- 3
- ISSN
- 0924-090X
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- 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)
-
A - Computing and Informatics Research Centre
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work considers the issues of optimal motion trajectory generation and adaptive tracking control of an underactuated vibro-driven capsule system. The work was partially supported by EU Marie Skłodowska-Curie SMOOTH (smart robots for fire-fighting) project (H2020-MSCA-RISE2016-734875) and has successfully trained a PhD student (Dr Pengcheng Liu) who is now a lecturer at York University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
