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Details of Grant 

EPSRC Reference: GR/S08893/01
Title: Identification and Analysis of Spatio-Temporal Systems
Principal Investigator: Billings, Professor SA
Other Investigators:
Researcher Co-Investigators:
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Department: Automatic Control and Systems Eng
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 01 August 2003 Ends: 30 September 2006 Value (£): 244,255
EPSRC Research Topic Classifications:
Control Engineering Intelligent & Expert Systems
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
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Panel History:  
Summary on Grant Application Form
The identification of spatio-temporal systems based on coupled map lattice models, partial differential equations, and cellular automata will be studie Spatio-temporal systems are systems that evolve both in space and time. The main theme of the present study will be to develop identification algorithms that solve the difficult inverse problem. That is given observations of a spatio-temporal system find the underlying rule. In the case of cour map lattice and partial differential equation models the observed output values are continuous, whereas for the cellular automata problem the output values are binary. Problems of validation, and in-homogeneity will also be studied and the algorithms will be tested on both simulated and real data
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Organisation Website: http://www.shef.ac.uk