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Details of Grant 

EPSRC Reference: GR/N25329/01
Title: MULTI-SENSOR FUSION ENHANCEMENTS TO MODEL PREDICTIVE CONTROL OF CHEMICAL PROCESSES
Principal Investigator: Lennox, Professor B
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Invensys
Department: Mechanical Aerospace and Civil Eng
Organisation: University of Manchester, The
Scheme: Standard Research (Pre-FEC)
Starts: 01 July 2001 Ends: 31 August 2004 Value (£): 57,067
EPSRC Research Topic Classifications:
Control Engineering
EPSRC Industrial Sector Classifications:
Chemicals No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
A number of review publications portray model predictive control (MPC) as a mature and capable technology. There remain, however, a number of outstanding problems which beset the technology in practical application. The proposed research aims at addressing one such barrier recognised by industry and academia alike as being a principal concern. This issue is that of control under conditions of significant process uncertainty. Specifically we mean the case where significant sections of the plant are judged a-priori as being unreliable - that is, potentially subject to errors and/or failure. This point has been addressed in a somewhat splintered fashion go date, with separation of control and monitoring tasks.The proposed research aims to provide an integrated response to the task of deciding MPC-based actuation moves under system uncertainty. The approach taken involves data-fusion technologies, including density estimation, wavelets and other system representations to define boundaries of reliability on relevant control variables. The programme of work then leads to algorithms for constraint management which respect these boundaries.The approaches developed will be evaluated on benchmark process plant simulations.
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Organisation Website: http://www.man.ac.uk