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Robust and Reliable Bionic Optimization of Nonlinear Control Problems

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Book cover Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

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Abstract

For nonlinear control problems the use of bionic optimization methods has been tested and qualified. The well accepted ideas to perform robust and reliable optimization in a given space of scattering parameters and input data is expanded to control problems by re-interpreting them as minimization problems. So a wide field of solutions and the influences of the ever present scatter might be handled without too much introduction of new tools but by application of qualified approaches to a new class of tasks. The control of cranes, which defines a well-known range of examples to the applicability of control problems is used to demonstrate the methods used and might help to apply the bionic methods to even more elaborated problems.

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Authors and Affiliations

  1. Reutlingen University, Reutlingen, Germany

    Lukas Haas & Rolf Steinbuch

Authors
  1. Lukas Haas
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  2. Rolf Steinbuch
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Corresponding author

Correspondence to Rolf Steinbuch .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Haas, L., Steinbuch, R. (2017). Robust and Reliable Bionic Optimization of Nonlinear Control Problems. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

  • eBook Packages: EngineeringEngineering (R0)

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