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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2015: Artificial Intelligence and Soft Computing pp 318–329Cite as

New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9120))

Abstract

In the paper a method to adapt the equivalent linearization technique of the non-linear state equation is proposed. This algorithm uses correction matrices. It also uses arrays amendments which elements are determined for each new point. These elements are generated by a formula created automatically using genetic programming.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Czȩstochowa University of Technology, Czȩstochowa, Poland

    Łukasz Bartczuk & Andrzej Przybył

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Petia Koprinkova-Hristova

Authors
  1. Łukasz Bartczuk
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  2. Andrzej Przybył
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  3. Petia Koprinkova-Hristova
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Corresponding author

Correspondence to Łukasz Bartczuk .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Czestochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Czestochova Univ of Technology, Częstochova, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. Louisville, Kentucky, USA

    Jacek M. Zurada

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Bartczuk, Ł., Przybył, A., Koprinkova-Hristova, P. (2015). New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_29

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  • DOI: https://doi.org/10.1007/978-3-319-19369-4_29

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