Premium
Teaching application of MATLAB fuzzy logic toolbox to modeling coplanar waveguides
Author(s) -
Übeyli̇ Elif Derya
Publication year - 2008
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.20166
Subject(s) - matlab , toolbox , adaptive neuro fuzzy inference system , computer science , fuzzy logic , modeling and simulation , computation , inference , fuzzy inference system , computer engineering , artificial intelligence , control engineering , computational science , machine learning , algorithm , simulation , fuzzy control system , engineering , programming language
Adaptive neuro‐fuzzy inference systems (ANFIS) have recently gained attention as fast and flexible vehicles to microwave modeling, simulation, and optimization. This article presents an initiative to teach the concept of modeling coplanar waveguides (CPWs) in the fuzzy logic toolbox of MATLAB to the electrical engineering students. The approach was based on illustrative applications that highlight the performance of ANFIS in the computation of the parameters of the microwave components. Following a brief description of CPWs, applications of the ANFIS modeling to the CPWs were done by means of a series of MATLAB functions. The author suggests that the use of MATLAB exercises will assist the students in gaining a better understanding of modeling CPWs by the use of ANFIS. © 2008 Wiley Periodicals, Inc. Comput Appl Eng Educ 16: 223–232, 2008; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20166