Design of delayed fractional state variable filter for parameter estimation of fractional nonlinear models
- Submitting institution
-
University of Wolverhampton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 581
- Type
- D - Journal article
- DOI
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10.1007/s11071-018-4519-0
- Title of journal
- Nonlinear Dynamics
- Article number
- -
- First page
- 2697
- Volume
- 94
- Issue
- 4
- ISSN
- 0924-090X
- Open access status
- Compliant
- Month of publication
- August
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Making use of a delayed fractional state variable filter, this paper presents a novel methodology for parameter estimation of continuous time fractional order nonlinear system models. This paper is significant because it clearly demonstrates the steps in the design procedure and highlights the advantages of a compartmental approach over a square root based fractional Butterworth design. By cancelling the effect of coloured noise, the applicability of the proposed approach can be extended to practical engineering fields such as model based condition monitoring, fault detection, adaptive observer design and adaptive control.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -