2023
DOI: 10.1109/jas.2022.105986
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Robust Stability Analysis of Smith Predictor Based Interval Fractional-Order Control Systems: A Case Study in Level Control Process

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Cited by 12 publications
(5 citation statements)
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“…At present, FOSs are widely used in many areas such as engineering systems [3][4][5] and economic systems [6,7]. A lot of significant achievements in the field of integer-order systems have been extended to FOSs, such as stability analysis [8,9] and feedback control [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…At present, FOSs are widely used in many areas such as engineering systems [3][4][5] and economic systems [6,7]. A lot of significant achievements in the field of integer-order systems have been extended to FOSs, such as stability analysis [8,9] and feedback control [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…In general, time delay transfer functions are used to model many real-world systems because time delay is unavoidable and occurs frequently in systems (Ghorbani et al, 2019). In practice, it has been demonstrated that the delay term is inclined to have uncertainties (Feliu-Batlle et al, 2019;Ghorbani et al, 2022aGhorbani et al, , 2022b. Also, it has been demonstrated that the FOPID controller offers greater design flexibility than Integer-Order PID controllers (Podlubny, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…The robust stability analysis of such interval systems is made easier by this characteristic. Motivated by the findings shown in Moornani and Haeri (2010a), Tan et al (2009) and Moornani and Haeri (2010b), some value set-based approaches for testing the robust stability of interval FO plants by FO controllers have been addressed in Ghorbani and Tavakoli-Kakhki (2020) and Ghorbani (2021).…”
Section: Introductionmentioning
confidence: 99%
“…Model-free delay compensation algorithms are ineffective for handling large delay systems (e.g., delays greater than 15 ms). Some novel control techniques, such as fractional-order control, combined with Smith predictors, have not yet received adequate testing and validation in practical systems [15,16].…”
Section: Introductionmentioning
confidence: 99%