| EPSRC Reference: |
EP/I011056/1 |
| Title: |
System Identification and Data Modelling of Complex Nonlinear and Nonstationary Processes |
| Principal Investigator: |
Wei, Dr H |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Automatic Control and Systems Eng |
| Organisation: |
University of Sheffield |
| Scheme: |
First Grant - Revised 2009 |
| Starts: |
01 June 2011 |
Ends: |
31 August 2012 |
Value (£): |
101,004
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| EPSRC Research Topic Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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22 Jul 2010
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Materials, Mechanical and Medical Engineering
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Announced
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Summary on Grant Application Form |
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Many real-world systems in engineering and science are inherently nonlinear and nonstationary in nature. However, the analysis and modelling techniques commonly used to study many types of typically complex nonlinear and nonstationary processes often assume linearity and stationarity. Conventional signal processing techniques include non-parametric approaches (e.g. statistics and power spectral estimation) and linear parametric modelling approaches (e.g. linear time-invariant and simply time-varying models). It has been noticed that complex signals may contain hidden information which cannot be sufficiently revealed and characterised by using traditional analysis methods. This project is primarily aimed to investigate, adapt and develop system identification and data modelling methods and algorithms for the analysis of nonlinear and nonstationary complex dynamical processes in the time, frequency, time-frequency and spatio-temporal domains.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.shef.ac.uk |