Controller design using RNGA-based-ETF for soptd mimo systems
67 p.
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sg-ntu-dr.10356-467952023-07-04T15:31:52Z Controller design using RNGA-based-ETF for soptd mimo systems Shaik Fareeth Cai Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering 67 p. Relative Normalized Gain Array-Based-Effective Transfer Function (RNGA-Based- ETF)'s decentralized control design for Multi-Input-Multi-Output (MIMO) systems is well established with First Order Plus Time Delay (FOPTD) elements. This method uses values of Steady State Gain and Average Residence Times (ART) for calculating the RNGA matrix, which is then used for calculating the Effective Transfer Function (ETF); this ETF is used for controller design. This procedure is not well-established when Second Order Plus Time Delay (SOPTD) elements appear in a MIMO system; both the Average Residence Time that should be used and the ETF of the second order system are yet to be determined and examined. Master of Science (Computer Control and Automation) 2011-12-23T09:56:07Z 2011-12-23T09:56:07Z 2009 2009 Thesis http://hdl.handle.net/10356/46795 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Shaik Fareeth Controller design using RNGA-based-ETF for soptd mimo systems |
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67 p. |
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Cai Wenjian |
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Cai Wenjian Shaik Fareeth |
format |
Theses and Dissertations |
author |
Shaik Fareeth |
author_sort |
Shaik Fareeth |
title |
Controller design using RNGA-based-ETF for soptd mimo systems |
title_short |
Controller design using RNGA-based-ETF for soptd mimo systems |
title_full |
Controller design using RNGA-based-ETF for soptd mimo systems |
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Controller design using RNGA-based-ETF for soptd mimo systems |
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Controller design using RNGA-based-ETF for soptd mimo systems |
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controller design using rnga-based-etf for soptd mimo systems |
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2011 |
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http://hdl.handle.net/10356/46795 |
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1772827313747001344 |