EPSRC Reference: |
GR/M76379/01 |
Title: |
MODERN STATISTICAL APPROACHES TO OFF-EQUILIBRIUM MODELLIMG FOR NON-LINEAR SYSTEM CONTROL |
Principal Investigator: |
Murray-Smith, Professor R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
School of Computing Science |
Organisation: |
University of Glasgow |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
27 April 2000 |
Ends: |
26 April 2003 |
Value (£): |
138,127
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EPSRC Research Topic Classifications: |
Non-linear Systems Mathematics |
Statistics & Appl. Probability |
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EPSRC Industrial Sector Classifications: |
Aerospace, Defence and Marine |
Healthcare |
R&D |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
This project aims to develop modern statistical theory and methodology to improve the performance and interpretability of the multiple-model approach to modelling and control of dynamic systems in engineering. (Concentrating on computationally-intensive methods such as Gaussian Process priors, or the use of Markov Chain Monte Carlo samplers). The primary application will be in rehabilitation engineering enabling paraplegics to stand unaided by direct muscle stimulation, where improved modelling and control methods are needed. Further test cases will be provided by aerospace engineering and automotive engineering problems. The work will link into existing research projects in the departments of Mechanical and Aerospace Engineering at Glasgow University, as well as the research labs of SINTEF in Norway, and DaimlerChrysler in Germany.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.gla.ac.uk |