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A new soft computing approach for order diminution of interval system

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Abstract

Order diminution plays a significant role in the study of complex dynamical linear interval systems. Numerous strategies have been suggested in diverse field for order diminution of higher dimensional models. Nowadays, the optimization algorithms are commonly used for order diminution based on a specific error performance criterion known as cost or objective function. This study suggests a novel approach for order diminution of interval system using cuckoo search algorithm. The proposed technique utilises the Kharitonov’s polynomials to ensure a stable model. Typical examples have been considered to showcase the efficiency of the presented approach. Comparative study is also demonstrated with other available techniques in terms of different performance measures. The suggested approach has also been applied for order diminution of multi input multi output interval system.

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Authors and Affiliations

  1. Department of Electronics Engineering, Rajasthan Technical University, Kota, 324 010, India

    Jay Kumar & Girish Parmar

  2. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, 144011, India

    Afzal Sikander

  3. Department of Electrical Engineering, BBD University, Lucknow, India

    Monica Mehrotra

Authors
  1. Jay Kumar

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  2. Afzal Sikander

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  3. Monica Mehrotra

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  4. Girish Parmar

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Correspondence toAfzal Sikander.

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Kumar, J., Sikander, A., Mehrotra, M.et al. A new soft computing approach for order diminution of interval system.Int J Syst Assur Eng Manag11, 366–373 (2020). https://doi.org/10.1007/s13198-019-00865-y

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