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Model Order Reduction of Single Input Single Output Systems Using Artificial Bee Colony Optimization Algorithm

  • Chapter
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 387))

Abstract

In many practical situations a fairly complex and high order model is obtained in modeling different components/subsystems of a system. The analysis of such high order system is not only tedious but also cost ineffective for online implementation. Therefore, deriving reduced order models of high-order linear time invariant systems attracted researchers to develop new methods for this purpose. Artificial Bee Colony (ABC) optimization algorithm is an effective and recent addition to swarm based optimization algorithm for optimization in continuous search space. In this paper, Artificial Bee Colony optimization algorithm is applied to solve Model Order Reduction of Single Input Single Output (SISO) Systems. The results obtained by ABC are compared with two most popular deterministic approaches namely Pade and Routh approximation method. The results reported are encouraging and shows that this technique is comparable in quality with existing conventional methods.

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Authors and Affiliations

  1. ABV-Indian Institute of Information Technology and Management, Gwalior, India

    Jagdish Chand Bansal, Harish Sharma & K. V. Arya

Authors
  1. Jagdish Chand Bansal
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  2. Harish Sharma
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  3. K. V. Arya
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and A.I.E.T.S. Ingenieria Informatica y de Telecomunicación, University of Granada, C/ Periodista Daniel Saucedo Aranda s/n,, 18071, Granada, Spain

    David Alejandro Pelta

  2. School of Computer Science, University of Nottingham, Jubilee Campus Wollaton Road, NG8 1BB, Nottingham, UK

    Natalio Krasnogor

  3. Center for Cognitive and Neural Studies, Babes-Bolyai University of Cluj Napoca, (Coneural), Str. Ciresilor 29, 400487, Cluj-Napoca, Romania

    Dan Dumitrescu

  4. Department of Computer Science, Babes-Bolyai University, Kogalniceanu 1, 400084, Cluj-Napoca, Romania

    Camelia Chira

  5. Faculty of Economics and Business Administration, Babes-Bolyai University of Cluj Napoca, Str. Teodor Mihali Nr. 58-60, 400591, Cluj Napoca, Romania

    Rodica Lung

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© 2011 Springer-Verlag Berlin Heidelberg

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Bansal, J.C., Sharma, H., Arya, K.V. (2011). Model Order Reduction of Single Input Single Output Systems Using Artificial Bee Colony Optimization Algorithm. In: Pelta, D.A., Krasnogor, N., Dumitrescu, D., Chira, C., Lung, R. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). Studies in Computational Intelligence, vol 387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24094-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-24094-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24093-5

  • Online ISBN: 978-3-642-24094-2

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