Browse by author
Lookup NU author(s): Dr Ming Tham, Dr Mark Willis
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Inferential estimation and control are techniques tailored for processes with severe sampling limitations on key process measurements. Often such systems have complex, time-varying dynamics making sustainable control performance an elusive target. As potential solutions, adaptive and robust control have been suggested with varying degrees of success. In this work, robust control principles are used to develop a tuning procedure for an adaptive inferential control algorithm, in order to monitor and optimize control performance. The primary advantage of the technique is that performance-robustness targets are maintained despite changes in system dynamics. A case study is used to demonstrate the utility of the technique highlighting the performance enhancements provided by the combination of adaptive and robust inferential control.
Author(s): Brodie KA, Tham MT, Willis MJ
Publication type: Article
Publication status: Published
Journal: International Journal of Adaptive Control and Signal Processing
Year: 1999
Volume: 13
Issue: 2
Pages: 85-103
Print publication date: 01/03/1999
ISSN (print): 0890-6327
ISSN (electronic):
Publisher: John Wiley & Sons, Inc.
URL: http://dx.doi.org/10.1002/(SICI)1099-1115(199903)13:2<85::AID-ACS524>3.0.CO;2-U
DOI: 10.1002/(SICI)1099-1115(199903)13:2<85::AID-ACS524>3.0.CO;2-U
Altmetrics provided by Altmetric
