JIHAD ASAD

Prof. JIHAD ASAD

Palestine Technical University - Kadoorie, Tulkarm, Palestinian Territory, Occupied
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Academic Career Length

23Years (2004-Present)

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

Representative Publications

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2 April 2020 in Communications in Theoretical Physics
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Journal Article
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Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu
AJAmin Jajarmi
Amin Jajarmi
SSSamaneh Sadat Sajjadi
Samaneh Sadat Sajjadi
JIHAD ASADJIHAD ASAD
JIHAD ASAD
In this study, a harmonic oscillator with position-dependent mass is investigated. Firstly, as an introduction, we give a full description of the system by constructing its classical Lagrangian; thereupon, we derive the related classical equations of motion such as the classical Euler–Lagrange equations. Secondly, we fractionalize the classical Lagrangian of the system, and then we obtain the corresponding fractional Euler–Lagrange equations (FELEs). As a final step, we give the numerical simulations corresponding to the FELEs within different fractional operators. Numerical results based on the Caputo and the Atangana-Baleanu-Caputo (ABC) fractional derivatives are given to verify the theoretical analysis.
26 November 2019 in Frontiers in Physics
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AJAmin Jajarmi
Amin Jajarmi
DBDumitru Baleanu
Dumitru Baleanu
SSSamaneh Sadat Sajjadi
Samaneh Sadat Sajjadi
JIHAD ASADJIHAD ASAD
JIHAD ASAD
In this new work, the free motion of a coupled oscillator is investigated. First, a fully description of the system under study is formulated by considering its classical Lagrangian, and as a result, the classical Euler–Lagrange equations of motion are constructed. After this point, we extend the classical Lagrangian in fractional sense, and thus, the fractional Euler–Lagrange equations of motion are derived. In this new formulation, we consider a recently introduced fractional operator with Mittag–Leffler non-singular kernel. We also present an efficient numerical method for solving the latter equations in a proper manner. Due to this new powerful technique, we are able to obtain remarkable physical thinks; indeed, we indicate that the complex behavior of many physical systems is realistically demonstrated via the fractional calculus modeling. Finally, we report our numerical findings to verify the theoretical analysis.
30 April 2019 in The European Physical Journal Plus
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DBDumitru Baleanu
Dumitru Baleanu
SSSamaneh Sadat Sajjadi
Samaneh Sadat Sajjadi
AJAmin Jajarmi
Amin Jajarmi
JIHAD ASADJIHAD ASAD
JIHAD ASAD
1 June 2017 in Acta Physica Polonica A
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DBD. Baleanu
D. Baleanu
AJA. Jajarmi
A. Jajarmi
JIHAD ASADJIHAD ASAD
JIHAD ASAD
TBTomasz Blaszczyk
Tomasz Blaszczyk
20 August 2022 in Mathematics
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Amin NajafiAmin Najafi
Amin Najafi
Mai The VuMai The Vu
Mai The Vu
Saleh MobayenSaleh Mobayen
Saleh Mobayen
JIHAD ASADJIHAD ASAD
JIHAD ASAD
Afef FekihAfef Fekih
Afef Fekih
This paper proposes an adaptive barrier fast terminal sliding mode control (ABFTSMC) approach for quadrotor unmanned aerial vehicles (UAV). Its main objectives are to mitigate the external disturbances, parametric uncertainties, and actuator faults. An adaptive barrier function is considered in the design to ensure the finite-time convergence of the output variables to a predefined locality of zero, independent of the disturbance bounds. A fast terminal sliding mode control (FTSMC) approach is designed to speed up the convergence rate in both reaching and sliding phases. The design considers hyperbolic tangent functions in the adaptive control law to drastically reduce the chattering effect, typically associated with the standard SMC. The performance of the proposed approach was assessed using a quadrotor UAV subject to external disturbances and sudden actuator faults. The obtained results show that the trajectory and the sliding surface converge to the origin in a finite time, without being affected by the high disturbance and actuator faults. In this method, due to the substitution of the discontinuous function by the hyperbolic tangent function, the chattering effect has also been highly reduced.
8 November 2021 in Sensors
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JWJing-He Wang
Jing-He Wang
JTJafar Tavoosi
Jafar Tavoosi
Ardashir MohammadzadehArdashir Mohammadzadeh
Ardashir Mohammadzadeh
Saleh MobayenSaleh Mobayen
Saleh Mobayen
JIHAD ASADJIHAD ASAD
JIHAD ASAD
Pawel SkruchPawel Skruch
Pawel Skruch
The main contribution of this paper is to develop a new flowmeter fault detection approach based on optimized non-singleton type-3 (NT3) fuzzy logic systems (FLSs). The introduced method is implemented on an experimental gas industry plant. The system is modeled by NT3FLSs, and the faults are detected by comparison of measured end estimated signals. In this scheme, the detecting performance depends on the estimation and modeling performance. The suggested NT3FLS is used because of the existence of a high level of measurement errors and uncertainties in this problem. The designed NT3FLS with uncertain footprint-of-uncertainty (FOU), fuzzy secondary memberships and adaptive non-singleton fuzzification results in a powerful tool for modeling signals immersed in noise and error. The level of non-singleton fuzzification and membership parameters are tuned by maximum correntropy (MC) unscented Kalman filter (KF), and the rule parameters are learned by correntropy KF (CKF) with fuzzy kernel size. The suggested learning algorithms can handle the non-Gaussian noises that are common in industrial applications. The various types of flowmeters are investigated, and the effect of common faults are examined. It is shown that the suggested approach can detect the various faults with good accuracy in comparison with conventional approaches.