Performance based automated control system design
The objective is to employ the Genetic Algorithm to solve pole placement problem in context of H(infinity) control, using the framework of chain-scattering approach. The use of GA formulation is investigated to search for a bounded real free parameter S(s) such that the constraints for pole placemen...
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sg-ntu-dr.10356-33962023-07-04T15:11:34Z Performance based automated control system design Tan, Thiam Huat. Lee, Peng Hin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation The objective is to employ the Genetic Algorithm to solve pole placement problem in context of H(infinity) control, using the framework of chain-scattering approach. The use of GA formulation is investigated to search for a bounded real free parameter S(s) such that the constraints for pole placement requirement are satisfied. Master of Engineering 2008-09-17T09:29:16Z 2008-09-17T09:29:16Z 2001 2001 Thesis http://hdl.handle.net/10356/3396 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Tan, Thiam Huat. Performance based automated control system design |
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The objective is to employ the Genetic Algorithm to solve pole placement problem in context of H(infinity) control, using the framework of chain-scattering approach. The use of GA formulation is investigated to search for a bounded real free parameter S(s) such that the constraints for pole placement requirement are satisfied. |
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Lee, Peng Hin |
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Lee, Peng Hin Tan, Thiam Huat. |
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Theses and Dissertations |
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Tan, Thiam Huat. |
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Tan, Thiam Huat. |
title |
Performance based automated control system design |
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Performance based automated control system design |
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Performance based automated control system design |
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Performance based automated control system design |
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Performance based automated control system design |
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performance based automated control system design |
publishDate |
2008 |
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http://hdl.handle.net/10356/3396 |
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1772828669902848000 |