Details of Grant 

EPSRC Reference:	GR/R15863/01
Title:	Off-Equilibrium Linearisation: a New Paradigm For the Divide & Conquer Identification of Nonlinear Systems
Principal Investigator:	Leith, Professor D
Other Investigators:	Murray-Smith, Professor DJ Leithead, Professor B
Researcher Co-Investigators:
Project Partners:
Department:	Electronic and Electrical Engineering
Organisation:	University of Strathclyde
Scheme:	Standard Research (Pre-FEC)
Starts:	01 September 2001	Ends:	28 February 2005	Value (£):	195,263
EPSRC Research Topic Classifications:	Non-linear Systems Mathematics
EPSRC Industrial Sector Classifications:	Manufacturing Electronics
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Panel History:
Summary on Grant Application Form
Mathematical models of dynamic systems are required, in a wide range of applications. With regard to current system identification practice, except in specific circumstances where collection of a single data-set covering the entire operating envelope is feasible, the approach almost universally employed is to collect data from a number of identification experiments each of which only excites a system in only a relatively small part of the operating envelope at any one time. Factors such as safety requirements, operating constraints and minimising disruption to normal operation/production all typically require the adoption of such a practice which leads naturally to a divide and conquer type of identification campaign. Other important advantages of such an approach include (i) relatively well-developed system identification methods for linear systems can be used when performing the local identifications and (ii) a degree of transparency is maintained which often plays a vital role in achieving successful results when dealing with complex systems. The velocity-based linearisation approach provides a natural, and quite general, framework for divide and conquer identification procedures which directly addresses the deficiencies of current methods. It is proposed to employ the velocity-based framework to develop general, systematic divide and conquer techniques for identifying nonlinear systems. In addition to investigating theoretical issues, the application to both simulated and measured data will be explored.
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Organisation Website:	http://www.strath.ac.uk