The Advanced Control Technology Club
NOTE: This meeting has since been held. Some of the presentations are now available on-line (to ACT Club members only) from our Download Centre, or simply by clicking on the appropriate link in the agenda below.
NOTE: Presentation material downloaded from our web-site should not be incorporated (either in part or in entirety) into other work etc., nor distributed (either in part or in entirety) to third parties, without the express permission of the authors.
Data-driven modelling refers to the operation of obtaining plant models and relationships from plant data. There are many methods ranging from simple SISO system identification to more complex multivariable techniques, such as sub-space identification and Principle Component Anslysis (PCA). This Plenary meeting has presentations from leading industrial and academic exponents covering a wide range of techniques available.
The talks will provide a broad overview of data-driven modelling techniques and their application to a range of applications, including automotive, fault detection in furnaces and batch processes.
The agenda for the meeting is as follows:
9.00 COFFEE AND REGISTRATION
9.30 Welcome to the meeting and Report on recent ACT Club activities, Prof. Mike Grimble, ACT Club [955KB]
9.50 Steering Group Chairman's Report
10.00 Data Analysis and knowledge recovery using principal component analysis, Matthew Wade, University of Strathclyde [461KB]
10.50 Subspace Identification and its application to Automotive Systems, Leo Giovanini, Strathclyde University [442KB]
11.30 A New Class of Cheaper Process Models Solve Many Old Problems, Robin Brooks, Curvaceous Ltd. [677KB]
1.15 Tuning Industrial Controllers: A model free approach, Mike Grimble, ACT Club [128KB]
1.45 Experiences Exploiting PCA for Online Fault Detection in Industrial Furnaces and Exploiting PLS in NOX Estimation, David Sandoz, Perceptive Engineering
2.50 Multivariate Statistical Process Performance Modelling and Monitoring, Its role in Variability Reduction, Elaine Martin, University of Newcastle [657KB]
3.35 An Introduction to Gaussian Process Prior Models for Nonlinear Systems, Rod Murray-Smith, Glasgow University
On-line registration is closed for this event.