Case study : Comparison between statics and dynamics neural network model of nonlinear system identification
This project is predominantly research based project. Literature review of various types and characteristics of nonlinear system and nonlinear system identification was done. Neural network was chosen as the method for system identification. After studying the characteristics of the nonlinear system...
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| Format: | text::Final Year Project |
| Language: | en |
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2023
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| _version_ | 1852709611353669632 |
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| author | Akmal Asyraf Bin Tik |
| author_facet | Akmal Asyraf Bin Tik |
| author_sort | Akmal Asyraf Bin Tik |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This project is predominantly research based project. Literature review of various types and characteristics of nonlinear system and nonlinear system identification was done. Neural network was chosen as the method for system identification. After studying the characteristics of the nonlinear system, a nonlinear model was chosen based on the mathematical equation of the system. A Simulink model of the system was constructed based on the mathematical expression of the nonlinear model. The purpose of building this model is to collect the data in order to analyze the model later. Since the output of nonlinear system is differ for every simulation, it is important to have the same input and output data pair for every analysis. |
| format | Resource Types::text::Final Year Project |
| id | my.uniten.dspace-20916 |
| institution | Universiti Tenaga Nasional |
| language | en |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-209162025-12-16T20:57:53Z Case study : Comparison between statics and dynamics neural network model of nonlinear system identification Akmal Asyraf Bin Tik System identification Neural network (Computer science) This project is predominantly research based project. Literature review of various types and characteristics of nonlinear system and nonlinear system identification was done. Neural network was chosen as the method for system identification. After studying the characteristics of the nonlinear system, a nonlinear model was chosen based on the mathematical equation of the system. A Simulink model of the system was constructed based on the mathematical expression of the nonlinear model. The purpose of building this model is to collect the data in order to analyze the model later. Since the output of nonlinear system is differ for every simulation, it is important to have the same input and output data pair for every analysis. 2023-05-03T15:34:20Z 2023-05-03T15:34:20Z 2008 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/20916 en application/pdf |
| spellingShingle | System identification Neural network (Computer science) Akmal Asyraf Bin Tik Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title | Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title_full | Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title_fullStr | Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title_full_unstemmed | Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title_short | Case study : Comparison between statics and dynamics neural network model of nonlinear system identification |
| title_sort | case study : comparison between statics and dynamics neural network model of nonlinear system identification |
| topic | System identification Neural network (Computer science) |
| url_provider | http://dspace.uniten.edu.my/ |