| EPSRC Reference: |
GR/K07317/01 |
| Title: |
NEUROFUZZY STATE ESTIMATION ALGORITHMS FOR COMPLEX NONLINEAR DYNAMIC PROCESSES |
| Principal Investigator: |
Harris, Professor C |
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| Department: |
Electronics and Computer Science |
| Organisation: |
University of Southampton |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
03 April 1995 |
Ends: |
02 October 1999 |
Value (£): |
142,526
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Summary on Grant Application Form |
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State estimation theory is well developed for linear processes of linearised nonlinear processes which are well defined. There are a large number of processes which are a priority unknown, yet the relationship between this class of problems by taking an input/output model generated by an associative memory neurofuzzy algorithm, and generating its internal states by a recursive sate estimator. The research will consider stability and convergence conditions for estimation, relationships of the estimators to probabilistic estimators and the evolution of a unified distributed and decentralized estimator architecture.
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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 |
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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.soton.ac.uk |