A practical evaluation of a multirate predictive controller
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 d...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19700 |
| _version_ | 1811679264793165824 |
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| author | Wu, Xiao Jing. |
| author2 | Ling, Keck Voon |
| author_facet | Ling, Keck Voon Wu, Xiao Jing. |
| author_sort | Wu, Xiao Jing. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:06:24Z |
| format | Thesis |
| id | ntu-10356/19700 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:06:24Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/197002023-07-04T16:02:06Z A practical evaluation of a multirate predictive controller Wu, Xiao Jing. Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering 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. Master of Engineering 2009-12-14T06:22:28Z 2009-12-14T06:22:28Z 1995 1995 Thesis http://hdl.handle.net/10356/19700 en NANYANG TECHNOLOGICAL UNIVERSITY 137 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Wu, Xiao Jing. A practical evaluation of a multirate predictive controller |
| title | A practical evaluation of a multirate predictive controller |
| title_full | A practical evaluation of a multirate predictive controller |
| title_fullStr | A practical evaluation of a multirate predictive controller |
| title_full_unstemmed | A practical evaluation of a multirate predictive controller |
| title_short | A practical evaluation of a multirate predictive controller |
| title_sort | practical evaluation of a multirate predictive controller |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
| url | http://hdl.handle.net/10356/19700 |
| work_keys_str_mv | AT wuxiaojing apracticalevaluationofamultiratepredictivecontroller AT wuxiaojing practicalevaluationofamultiratepredictivecontroller |