Control-based continuation : bifurcation and stability analysis for physical experiments
- Submitting institution
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University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 95745435
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2015.12.039
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 54
- Volume
- 84 Part B
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- 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
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0
- Research group(s)
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N - Applied Nonlinear Mathematics
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel means of extracting key nonlinear dynamic information (stability and bifurcations) from physical experiments and was demonstrated on an electro-mechanical device. It brings together system identification, control theory and dynamical systems theory. This work led to keynote talk at the international Nonlinear System Identification Benchmarks workshop and a presentation at Schlumberger Research Cambridge. Subsequently, Schlumberger have funded an iCASE PhD award on this topic and it inspired Marucci's EPSRC Fellowship (EPSRC EP/S01876X/1) on system biology with micro-fluidics. This method led to follow-on funding to apply to aero-elastic flutter (EPSRC EP/P019323/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -