Identification of Continuous Processes Parameters Using Genetic Algorithms
نویسندگان
چکیده
This work presents a technique for identifying the parameters of a continuous process using Genetic Algorithms. The flexibility of this technique allows the parameters identification of high order linear models, and non-linear models. One of the advantages is that any type of input signal can be used. This feature is very useful when an industrial process cannot be stopped for specific identification operations, and so regular process operations can be used for identification. This paper shows the application of this technique to a thermal process and a conveyor system.
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