Details of Grant 

EPSRC Reference:	GR/S91024/01
Title:	Improved Inverse Simulation using Nonlinear Predictive Methods
Principal Investigator:	Thomson, Dr DG
Other Investigators:	Anderson, Dr D Murray-Smith, Professor DJ
Researcher Co-Investigators:
Project Partners:	Advanced Control Technology Club BAE Systems Civil Aviation Authority DSTL National instruments QinetiQ Visteon UK Limited Westland
Department:	School of Engineering
Organisation:	University of Glasgow
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 2004	Ends:	31 March 2008	Value (£):	153,285
EPSRC Research Topic Classifications:	Control Engineering
EPSRC Industrial Sector Classifications:	Aerospace, Defence and Marine
Related Grants:	GR/S91031/01
Panel History:
Summary on Grant Application Form
For some years the system simulation and automatic control communities have been developing algorithms for forcing nonlinear systems to follow prescribed trajectories. In simulation circles, a family of algorithms under the combined heading of inverse simulation , have been developed. In the control community, a number of techniques have been investigated to solve related problems, but with perhaps the most promising being nonlinear predictive control . Although both techniques possess very obvious similarities, there has been no meaningful cross-fertilisation of ideas, experience or expertise between the two communities to date. Inverse simulation techniques have been used with considerable success in investigations of manoeuvrability, handling qualities and conceptual design of aircraft, but a number of important problems remain to be overcome. These problems include removal of constraint oscillations and inclusion of constraints directly within the solution. It is believed that the techniques and experience gained in the development of nonlinear predictive control will provide solutions to these problems. Once these current deficiencies have been properly addressed, the inverse simulation approach has potential applicability to a wide range of problems arising in the design of complex nonlinear manmachine systems (or autonomous/semi-autonomous systems). It thus has broad applicability in many sectors of the manufacturing, aerospace and defence industries.
Key Findings
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Organisation Website:	http://www.gla.ac.uk