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https://hdl.handle.net/10356/19700
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu, Xiao Jing. | en_US |
dc.date.accessioned | 2009-12-14T06:22:28Z | - |
dc.date.available | 2009-12-14T06:22:28Z | - |
dc.date.copyright | 1995 | en_US |
dc.date.issued | 1995 | - |
dc.identifier.uri | http://hdl.handle.net/10356/19700 | - |
dc.description.abstract | Predictive control methods have been widely accepted by the process industries. Recently, multirate control schemes have received considerable research interests and a state space multirate predictive controller has been proposed. The predominant design feature of this controller is the use of the deterministic least squares framework for the state estimator design. The state estimation horizon is introduced as a new tuning parameter in this formulation. Such an approach offers a natural extension to multirate control schemes in the predictive control framework. | en_US |
dc.format.extent | 137 p. | - |
dc.language.iso | en | - |
dc.rights | NANYANG TECHNOLOGICAL UNIVERSITY | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering | en_US |
dc.title | A practical evaluation of a multirate predictive controller | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Ling, Keck Voon | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Engineering | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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EEE_THESES_236.pdf Restricted Access | 12.43 MB | Adobe PDF | View/Open |
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