A new modeling approach in engineering electromagnetics using fuzzy inference

Tayarani, Majid; Kami, Yoshio

doi:10.1109/elmagc.1999.801274

Cited by 11 publications

(16 citation statements)

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“…In contrast with these methods, qualitative inferences and soft calculating methods can be taken into consideration. A new modeling approach by using fuzzy inference for computing the input impedance of an isolated monopole antenna was introduced by Tayarani et.al in [2]. The same method was then used by authors to predict input impedance of two coupled dipole antennas in the parallel, collinear and echelon form as three different kinds of transmitting in [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Induced Current in Externally Excited Dipole Antenna Using Fuzzy Inference

Ostadzadeh

Soleimani

Tayarani

2008

2008 Second Asia International Conference on Modelling &Amp; Simulation (AMS)

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In this paper, our previously introduced fuzzy modeling method is used to model the induced current in the externally excited dipole antenna. In our model, behavior of the problem is saved as a set of unchanged membership functions and the knowledge of the incident angle is extracted as very simple curves of starting parameters. Then the induced current of the externally excited dipole antenna for any incident angle can be predicted very easily by applying the starting parameters calculated from the achieved simple curves to fuzzy system. Comparing fuzzy model results with the method of moments (MoM) shows very good agreement while execution time is surprisingly short even for wide bandwidth.Second Asia International Conference on Modelling & Simulation 978-0-7695-3136-6/08 $25.00

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Section: Introductionmentioning

confidence: 99%

Prediction of Induced Current in Externally Excited Dipole Antenna Using Fuzzy Inference

Ostadzadeh

Soleimani

Tayarani

2008

2008 Second Asia International Conference on Modelling &Amp; Simulation (AMS)

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“…The membership function set, obtained to satisfy a certain purpose, is saved as the fuzzy model dominant rules and the model is completed. It means, by only inserting the initial circles for any other sample, we can generate a full model very fast and satisfactorily good (8). If good accuracy can not be achieved, the user may change the set definition or increase the number of them and make a new model.…”

Section: Discussionmentioning

confidence: 99%

“…It is important to mention that we always assume the system as a SIMO (single-input multi-output) one. Deriving the output of a MIMO (multi-input multi-output) system using its individual SIMO knowledge is one of the capabilities of our proposed modeling method (8). Circles No.…”

Section: Modeling Algorithmmentioning

confidence: 99%

A New Approach to Analysis and Modeling of Externally Excited Transmission Lines Using Fuzzy Inference

Tayarani

Kami

2001

IEEJ Trans. FM

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Fuzzy inference abilities were implemented to electromagnetic problems for the first time by the authors.After very successful results of applying the developed fuzzy modeling method to input impedance of a general monopole antenna and general transmission line, in this article we apply the proposed method to make a qualitative model for coupling of an external wave to a transmission line to show the abilities of the proposed method in EMC problems. It is shown that because of using a novel point of view and parameters, the system may be analyzed and modeled simply using a fuzzy inference system based on new parameters. It is notified that the proposed method basic structure remains unchanged as it was for monopole antenna and transmission line. It may be supposed because of the new qualitative view point which supports the proposed method.

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“…In this paper, analysis of rectangular microstrip antenna was investigated based upon qualitative concepts proposed by Tayarani et al [10][11][12]. At the first step of analysis, the behavior of the microstrip antenna was well qualitatively extracted.…”

Section: Resultsmentioning

confidence: 99%

“…It is however well known that these models require too many initial input-output data to create the model and also training process is too long especially when the number of inputs is increased. In contrast with these intelligent models, the fuzzy-based approach proposed only for modeling electromagnetic problems [10][11][12] can be used. This model has two main advantageous against the other ones such as N.N that makes it more efficient.…”

Section: Introductionmentioning

confidence: 99%

Qualitative Model of the Input Impedance of Rectangular Microstrip Antenna

Ostadzadeh¹

2015

Journal of Fuzzy Set Valued Analysis

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In this paper, a fuzzy-based approach is proposed so as to predict the input impedance of the rectangular microstrip antenna. In the proposed approach, at first, behavior of single microstrip antenna is represented as simple and unchanged membership functions, and the feed probe effect on the input impedance is then extracted as simple curves so that the input impedance of microstrip antenna in despite of other existing models is efficiently predicted.

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A new modeling approach in engineering electromagnetics using fuzzy inference

Cited by 11 publications

References 0 publications

Prediction of Induced Current in Externally Excited Dipole Antenna Using Fuzzy Inference

Prediction of Induced Current in Externally Excited Dipole Antenna Using Fuzzy Inference

A New Approach to Analysis and Modeling of Externally Excited Transmission Lines Using Fuzzy Inference

Qualitative Model of the Input Impedance of Rectangular Microstrip Antenna

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