2017
DOI: 10.1002/jnm.2257
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Modelling of composite right/left‐handed active multiconductor transmission lines (AMCTL) in time domain

Abstract: An explicit finite difference time domain method is proposed for modelling of composite right-/left-handed active multiconductor transmission lines in time domain. For the first time, the concept of active composite right-/left-handed transmission lines is considered in field effect transistor (FET) modelling. In this work, based on the distributed model, the FET is considered as an active multiconductor transmission line in the mm/wave frequency range. In this modelling technique, the FET is divided into 2 di… Show more

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Cited by 13 publications
(3 citation statements)
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“…As the explicit scheme is conditionally stable, there is a limitation associated with the temporal step size in order to satisfy the Courant stability condition. This condition is explained as the smaller value of the numerical time step compared to the time that the wave needs to travel to the adjacent grid point [24]. For analyzing complicated systems, Δt must be extremely small to keep the resultant numerical error bounded and this process increases the computation time of the solution.…”
Section: Distributed Modeling Approach and Finite Difference Anamentioning
confidence: 99%
“…As the explicit scheme is conditionally stable, there is a limitation associated with the temporal step size in order to satisfy the Courant stability condition. This condition is explained as the smaller value of the numerical time step compared to the time that the wave needs to travel to the adjacent grid point [24]. For analyzing complicated systems, Δt must be extremely small to keep the resultant numerical error bounded and this process increases the computation time of the solution.…”
Section: Distributed Modeling Approach and Finite Difference Anamentioning
confidence: 99%
“…The considered load could be the processor load, the used memory, network delay or load [2]. Recently, multi-variable methods have been studied extensively for their wide application in various industries such as robotics, IOT and multiconductor transmission lines [3][4][5][6][7][8][9]. It seems that neural network has no issue but one problem of neural networks could be having to fix the depth of the network during training that prior synthesis methods suffer from, one feasible solution according to Hassantabar et al is a synthesis methodology that can generate compact and accurate neural networks [10][11] There are different methods to solve this issue, Mohammadzadeh et al suggest particle swarm optimization method [12][13] or Afshar implements Population Balance Modeling (PBM) and Initial Development Method (IDM) [14][15] on the other hand Azarang et al describe about Laplacian-based and Nonfragile fuzzy method [16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…The finite-difference time-domain (FDTD) method as a versatile and easy-to-implement technique is successfully applied to numerical solutions. Recently, the CRLH TL has been analyzed based on the leap-frog (LF) FDTD method [7, 24]. But the LF method is conditionally stable due to the Courant–Friedrichs–Lewy (CFL) constraint [25].…”
Section: Introductionmentioning
confidence: 99%