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Surrogate-Based Modeling and Optimization pp 81–97Cite as

Practical Application of Space Mapping Techniques to the Synthesis of CSRR-Based Artificial Transmission Lines

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Abstract

Artificial transmission lines based on metamaterial concepts have been attracting increasing interest from the scientific community. The synthesis process of this type of artificial line is typically a complex task, due to the number of design parameters involved and their mutual dependence. Space mapping techniques are revealed to be very useful for automating the synthesis procedure of these kinds of structures. In this chapter, a review of their application to the automated synthesis of microstrip lines loaded with complementary split ring resonators (CSRRs), either with or without series capacitive gaps, will be presented. The most critical points related to the implementation of these space mapping techniques are discussed in detail. Different examples to illustrate and prove the usefulness of this synthesis methodology are presented.

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Author information

Authors and Affiliations

  1. Departamento de Comunicaciones-iTEAM, Universitat Politècnica de València, 46022, Valencia, Spain

    Ana Rodríguez & Vicente E. Boria

  2. CIMITEC, Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain

    Jordi Selga & Ferran Martín

  3. Aurora Software and Testing S.L., Valencia, Spain

    Vicente E. Boria

Authors
  1. Ana Rodríguez
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  2. Jordi Selga
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  3. Ferran Martín
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  4. Vicente E. Boria
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Corresponding author

Correspondence to Ana Rodríguez .

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Editors and Affiliations

  1. , Engineering Optimization & Modeling Cent, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Slawomir Koziel

  2. School of Science and Engineering, Engineering Optimization & Modeling, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Leifur Leifsson

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Rodríguez, A., Selga, J., Martín, F., Boria, V.E. (2013). Practical Application of Space Mapping Techniques to the Synthesis of CSRR-Based Artificial Transmission Lines. In: Koziel, S., Leifsson, L. (eds) Surrogate-Based Modeling and Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7551-4_4

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