| EPSRC Reference: |
GR/S63779/01 |
| Title: |
Towards Multiple-model Based Learning Control Paradigms for Complex Systems |
| Principal Investigator: |
Hussain, Professor A |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Department: |
Computing Science and Mathematics |
| Organisation: |
University of Stirling |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 July 2003 |
Ends: |
30 June 2004 |
Value (£): |
60,618
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Complexity Science |
| New & Emerging Comp. Paradigms |
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Summary on Grant Application Form |
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Firstly, concerning structures of non-linear process models, research will focus on new relational fuzzy models (emphasizing transparency of models) and Hammerstein systems (emphasizing simplicity of models). Fundamental research issues will be identified relating to the development of optimal control of complex systems modelled using 'imprecise probabilities'. Novel non-linear optimal fixed structure controllers combining effective computational-intelligence modelling with simplicity of fixed-structure controllers will also be considered.Secondly, for parameter estimation and optimisation in non-linear model structures, interests will focus on new guided random search techniques, and the role of optimisation under constraints. New stochastic approximation techniques for complex system identification under constraints, and novel application of stochastic learning automata methods for parameter estimation, supervision and control purposes will be considered.Finally, for the development of novel multiple-model based approaches to modelling and control of complex systems, this Cluster will investigate the development and application of multi-agent learning systems for control systems design. This is a radical development, which could lead to new simplified and transparent nonlinear model and control representations of complex (i.e. large-scale, significantly non-linear, time-varying, uncertain and multivariable) systems.
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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.stir.ac.uk |