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01638 am a22001813u 4500 |
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|a Md. Fahmi, Abd. Samad
|e author
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|a Jamaluddin, Hishamuddin
|e author
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|a Ahmad, Robiah
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|a Yaacob, Mohd. Shafik
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|a Azad, Abul K. M.
|e author
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|a Effect of penalty function parameter in objective function of system identification
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|b Universiti Malaysia Pahang,
|c 2013.
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|z Get fulltext
|u http://eprints.utm.my/id/eprint/49953/1/HishamuddinJamaluddin2013_Effectofpenaltyfunctionparameter.pdf
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|a The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification. Recently, an objective function was introduced that, besides evaluating predictive accuracy, includes a logarithmic penalty function to achieve a suitable balance between the former model's characteristics and model parsimony. However, the parameter value in the penalty function was made arbitrarily. This paper presents a study on the effect of the penalty function parameter in model structure selection in system identification on a number of simulated models. The search was done using genetic algorithms. A representation of the sensitivity of the penalty function parameter value in model structure selection is given, along with a proposed mathematical function that defines it. A recommendation is made regarding how a suitable penalty function parameter value can be determined
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|a en
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|a TJ Mechanical engineering and machinery
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