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DC Field | Value | Language |
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dc.contributor.author | SHARMA, SWATI | - |
dc.date.accessioned | 2018-12-19T11:17:20Z | - |
dc.date.available | 2018-12-19T11:17:20Z | - |
dc.date.issued | 2018-07 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16222 | - |
dc.description.abstract | There are very simple and powerful optimization algorithm which determine various constrained and unconstrained optimization problems. As optimization means many different attributes. There are various optimization techniques which are implemented for various non linear models. Genetic algorithms and Jaya algorithms are widely used for model building , validation and policy designs for non-linear models. The main model on which Jaya Algorithm has been implemented is of Surge Tank. The improvement in these algorithms brings necessity in evaluation of the efficacy of the surge tank. This is the main purpose of this thesis. This Thesis carries the work on implementing the Jaya Algorithm and Genetic Algorithm with Adaptive control on Surge tank. The different Algorithms are also compared with Jaya Algorithm for different benchmark functions. The common control parameters are required by Jaya Algorithm but not the algorithm specific control parameters. The Genetic Algorithm and the Jaya Algorithm are also implemented on Surge tank with adaptive control to obtain the system dynamics | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-4140; | - |
dc.subject | ADAPTIVE CONTROL | en_US |
dc.subject | JAYA ALGORITHM | en_US |
dc.subject | GENETIC ALGORITHM | en_US |
dc.subject | SURGE TANK | en_US |
dc.title | ADAPTIVE CONTROL USING JAYA ALGORITHM | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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dst_final for lib.pdf | 1.33 MB | Adobe PDF | View/Open |
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