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Abstract

In design and realization of analog electronic circuit, we usually use preferred value components, the performance of practical circuits often deviate from the ideal design target due to rounding the calculated component values to preferred ones. The best combination of the preferred value components exists in general, but the searching space of all combinations of preferred-value components is very huge. Clonal Selection Algorithms (CSA) is a widely used approach for handling optimization problems. In this paper, CSA is applied into searching optimal components for 4th order Butterworth filter design. Simulation results demonstrate that the proposed method is much superior to the conventional means. This method also can be applied into other types of filter design.

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De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer Berlin Heidelberg

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Jiang, M., Yang, Z., Gan, Z. (2007). Optimal Components Selection for Analog Active Filters Using Clonal Selection Algorithms. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_96

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_96

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74170-1

  • Online ISBN: 978-3-540-74171-8

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