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A new soft computing approach for order diminution of interval system

Author

Listed:
  • Jay Kumar

    (Rajasthan Technical University)

  • Afzal Sikander

    (Dr. B. R. Ambedkar National Institute of Technology)

  • Monica Mehrotra

    (BBD University)

  • Girish Parmar

    (Rajasthan Technical University)

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.

Suggested Citation

  • Jay Kumar & Afzal Sikander & Monica Mehrotra & Girish Parmar, 2020. "A new soft computing approach for order diminution of interval system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 366-373, April.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00865-y
    DOI: 10.1007/s13198-019-00865-y
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