A new soft computing approach for order diminution of interval system

Jay Kumar, Afzal Sikander (), Monica Mehrotra and Girish Parmar
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Jay Kumar: Rajasthan Technical University
Afzal Sikander: Dr. B. R. Ambedkar National Institute of Technology
Monica Mehrotra: BBD University
Girish Parmar: Rajasthan Technical University

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 2, No 11, 366-373

Abstract: 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.

Keywords: Order diminution; Interval system; Optimization; Cuckoo search algorithm; Kharitonov’s polynomials (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-019-00865-y

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