Truman, A. and Govan, M. (2001) Predictive control of fast output-sampled digital feedback systems via a polynomial approach. Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 215, P(3), pp. 221-233. (doi: 10.1243/0959651011541003)
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Publisher's URL: http://www.ingentaconnect.com/content/pep/jsc/2001/00000215/00000003/art00004
Abstract
This paper describes the synthesis of model-based predictive controllers for multivariable digital feedback systems in which the plant output signals are measured at a faster rate than the controls are applied. In contrast with the recent literature devoted to multirate sampled-data system theory, where state-variable system representations are used exclusively, a polynomial modelling approach that exploits the frequency and switch decomposition techniques established in the 1950s is adopted. It is demonstrated that the principal advantage of fast output signal-sampled predictive control algorithms lies in their potential to suppress process and, particularly, measurement noise disturbances.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | UNSPECIFIED |
Authors: | Truman, A., and Govan, M. |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering |
Publisher: | Professional Engineering Publishing |
ISSN: | 0959-6518 |
ISSN (Online): | 2041-3041 |
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