Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

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@InProceedings{1068,

• author = "Stephan M. Winkler and Markus Hirsch and Michael Affenzeller and Luigi {del Re} and Stefan Wagner",
• title = "Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification",
• booktitle = "Proceedings of International Conference Computer Aided Systems Theory, EUROCAST 2009",
• year = "2009",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "5717",
• series = "Lecture Notes in Computer Science",
• pages = "657--664",
• address = "Las Palmas, Spain",
• month = feb,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-04772-5",
• URL = "https://link.springer.com/chapter/10.1007/978-3-642-04772-5_85",
• DOI = "doi:10.1007/978-3-642-04772-5_85",
• abstract = "In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analysed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analysing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.",

}

Genetic Programming entries for Stephan M Winkler Markus Hirsch Michael Affenzeller Luigi del Re Stefan Wagner

Citations