Hadi Delavari

Prof. Hadi Delavari


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 August 2011 in Nonlinear Dynamics
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Journal Article
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HDHadi Delavari
Hadi Delavari
Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu
JSJalil Sadati
Jalil Sadati

4 January 2013 in Nonlinear Dynamics
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Journal Article
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MFMohammadreza Faieghi
Mohammadreza Faieghi
SKSuwat Kuntanapreeda
Suwat Kuntanapreeda
HDHadi Delavari
Hadi Delavari
Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu

25 March 2013 in Asian Journal of Control
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Journal Article
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HDHadi Delavari
Hadi Delavari
PLPatrick Lanusse
Patrick Lanusse
Jocelyn SabatierJocelyn Sabatier
Jocelyn Sabatier

4 February 2010 in Nonlinear Dynamics
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Journal Article
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HDHadi Delavari
Hadi Delavari
ANAbolfazl Ranjbar N.
Abolfazl Ranjbar N.
RGR. Ghaderi
R. Ghaderi
Shaher MomaniShaher Momani
Shaher Momani

11 October 2011 in Journal of Vibration and Control
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MFMohammad Reza Faieghi
Mohammad Reza Faieghi
HDHadi Delavari
Hadi Delavari
Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu
Robust control of fractional-order Liu system is addressed in this paper. The proposed approach relies on sliding mode control being established on a novel fractional-order integral type sliding surface. Theoretically, based on classical Lyapunov stability theorem, it has been shown that under suitable conditions, the proposed controller guarantees the system's stability. Further, it is shown that the method presented is capable for both commensurate and incommensurate systems. In order to reduce the chattering effect, a fuzzy logic controller is employed. Numerical simulations verify these results.

1 April 2019 in IET Systems Biology
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Journal Article
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HDHadi Delavari
Hadi Delavari
HHHamid Heydarinejad
Hamid Heydarinejad
DBDumitru Baleanu
Dumitru Baleanu
Type I diabetes is described by the destruction of the insulin-producing beta-cells in the pancreas. Hence, exogenous insulin administration is necessary for Type I diabetes patients. In this study, to estimate the states that are not directly available from the Bergman minimal model a high-order sliding mode observer is proposed. Then fractional calculus is combined with sliding mode control (SMC) for blood glucose regulation to create more robustness performance and make more degree of freedom and flexibility for the proposed method. Then an adaptive fractional-order SMC is proposed. The adaptive SMC protect controller against disturbance and uncertainties while the fractional calculus provides robust performance. Numerical simulation verifies that the proposed controllers have better performance in the presence of disturbance and uncertainties without chattering.