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Title: | Bee algorithm integrated with system identification technique for modelling dynamic systems |
Authors: | Mohd Zakimi, Zakaria Nurhidayati, Wahid zakimizakaria@unimap.edu.my |
Keywords: | Bee algorithm Modelling Optimization System identification |
Issue Date: | 20-Apr-2016 |
Publisher: | Asian Research Publishing Network (ARPN) |
Citation: | ARPN Journal of Engineering and Applied Sciences, vol.11 (8), 2016, pages 5506-5513 |
Abstract: | System identification has been widely used in modelling dynamic system whereby the input-output data from real system are undergo the model structure selection, parameter estimation and model validation procedure. However, the most complicated part in modelling the dynamic system is selecting the model structure to represent the system. In this project, bee algorithm (BA) is integrated with system identification technique to optimize the model structure selection in modelling the dynamic system. This project describes the procedure and investigates the performance and effectiveness of BA based on a few case studies. The result indicates that the proposed algorithm is able to select the model structure of a system successfully. The validation test carried out demonstrates that BA is capable of producing adequate and parsimonious models effectively. |
Description: | Link to publisher’s homepage at http://www.arpnjournals.org |
URI: | http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4143.pdf http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44047 |
ISSN: | 1819-6608 (online) |
Appears in Collections: | Mohd Zakimi Zakaria, Dr |
Files in This Item:
File | Description | Size | Format | |
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Bee algorithm integrated with system identification technique.pdf | 174.36 kB | Adobe PDF | View/Open | |
Bee algorithm integrated with system identification.pdf | 600.22 kB | Adobe PDF | View/Open |
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