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Details of Grant 

EPSRC Reference: GR/S85191/01
Title: Eng-genes: a new genetic modelling approach for real-time operation and control of engineering systems
Principal Investigator: Li, Professor K
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Electronics, Elec Eng & Comp Sci
Organisation: Queen's University of Belfast
Scheme: First Grant Scheme Pre-FEC
Starts: 17 May 2004 Ends: 16 August 2007 Value (£): 124,447
EPSRC Research Topic Classifications:
Control Engineering
EPSRC Industrial Sector Classifications:
Chemicals Energy
Related Grants:
Panel History:  
Summary on Grant Application Form
Differing from all existing methods for modelling and identification of dynamic engineering systems, this proposal intends to establish a new modelling method and associated algorithms for the real-time operation and control of engineering systems. The proposed method performs system modelling by first establishing the 'eng-genes' - fundamental engineering functions from 'a priori' engineering knowledge. These 'eng-genes' are then composed and combined to produce a simple neural model. The 'eng-genes' reflect the nonlinearity uniquely existing within the specific engineering system, therefore it is natural to compose and code these 'eng-genes' and the associated neural structure into appropriate chromosome representations which then evolve for some generations to produce a neural model which best fits the dynamic system.The approximation performance of the proposed neural models will be analysed, and new off-line/ online modelling and identification algorithms will be proposed. User-friendly software will also be developed to implement this new modelling method. The proposed method, together with its associated algorithms and software will then be applied to various engineering systems. The major contribution will be a unique platform for effective genetic modelling of a wide range of complex engineering systems.This project will be carried out within Queen's University Belfast and it will last for three years. A postdoctoral research assistant will be employed to carry out a major part of this research and the total cost is 119,813.
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Organisation Website: http://www.qub.ac.uk