Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system
This paper focuses on an identification technique based on geneticalgorithms (GAs) with application to rectangularflexibleplatesystems for active vibration control. A real coded GA with a new truncation-based selection strategy of individuals is developed, to allow fast convergence to the global opt...
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| Format: | Article |
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Elsevier B.V.
2010
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| _version_ | 1796856157806002176 |
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| author | Mat Darus, Intan Zaurah Mailah, Musa Tavakolpour, Ali Reza |
| author_facet | Mat Darus, Intan Zaurah Mailah, Musa Tavakolpour, Ali Reza |
| author_sort | Mat Darus, Intan Zaurah |
| collection | ePrints |
| description | This paper focuses on an identification technique based on geneticalgorithms (GAs) with application to rectangularflexibleplatesystems for active vibration control. A real coded GA with a new truncation-based selection strategy of individuals is developed, to allow fast convergence to the global optimum. A simulation environment characterizing the dynamic behavior of aflexiblerectangularplatesystem is developed using the central finite difference (FD) techniques. The plate thus developed is excited by a uniformly distributed random disturbance and the input–output data of the system acquired is used for black-box modeling the system with the GA optimization using an autoregressive model structure. Model validity tests based on statistical measures and output prediction are carried out. The prediction capability of the model is further examined with unseen data. It is demonstrated that the GA gives faster convergence to an optimum solution and the model obtained characterizes the dynamic system behavior of the system well. |
| first_indexed | 2024-03-05T18:39:18Z |
| format | Article |
| id | utm.eprints-26184 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:39:18Z |
| publishDate | 2010 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | utm.eprints-261842018-10-31T12:20:20Z http://eprints.utm.my/26184/ Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system Mat Darus, Intan Zaurah Mailah, Musa Tavakolpour, Ali Reza TJ Mechanical engineering and machinery This paper focuses on an identification technique based on geneticalgorithms (GAs) with application to rectangularflexibleplatesystems for active vibration control. A real coded GA with a new truncation-based selection strategy of individuals is developed, to allow fast convergence to the global optimum. A simulation environment characterizing the dynamic behavior of aflexiblerectangularplatesystem is developed using the central finite difference (FD) techniques. The plate thus developed is excited by a uniformly distributed random disturbance and the input–output data of the system acquired is used for black-box modeling the system with the GA optimization using an autoregressive model structure. Model validity tests based on statistical measures and output prediction are carried out. The prediction capability of the model is further examined with unseen data. It is demonstrated that the GA gives faster convergence to an optimum solution and the model obtained characterizes the dynamic system behavior of the system well. Elsevier B.V. 2010 Article PeerReviewed Mat Darus, Intan Zaurah and Mailah, Musa and Tavakolpour, Ali Reza (2010) Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system. Engineering Application of Artificial Intelligence, 23 (8). 1388 - 1397. ISSN 0952-1976 http://dx.doi.org/10.1016/j.engappai.2010.01.005 DOI:10.1016/j.engappai.2010.01.005 |
| spellingShingle | TJ Mechanical engineering and machinery Mat Darus, Intan Zaurah Mailah, Musa Tavakolpour, Ali Reza Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title | Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title_full | Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title_fullStr | Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title_full_unstemmed | Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title_short | Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system |
| title_sort | genetic algorithm based identification of transfer function parameters for a rectangular flexible plate system |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT matdarusintanzaurah geneticalgorithmbasedidentificationoftransferfunctionparametersforarectangularflexibleplatesystem AT mailahmusa geneticalgorithmbasedidentificationoftransferfunctionparametersforarectangularflexibleplatesystem AT tavakolpouralireza geneticalgorithmbasedidentificationoftransferfunctionparametersforarectangularflexibleplatesystem |