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Modified constrained explicit knowledge‐embedded space mapping using circuit tuning based on physical augmentation as parameter extraction
Author(s) -
Rasmita Abdullah,
Guo YongXin
Publication year - 2012
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20583
Subject(s) - space mapping , robustness (evolution) , algorithm , computer science , convergence (economics) , stability (learning theory) , control theory (sociology) , artificial intelligence , chemistry , control (management) , biochemistry , machine learning , economics , gene , economic growth
A new constrained space mapping algorithm is presented. This algorithm is based on aggressive space mapping type algorithm. Orthogonal projection is used to handle the constraints. The new method has advantage of simplicity without sacrificing mathematical robustness of space mapping. Proof of the convergence of the proposed method for convex constraints case is presented. Modified Broyden's method is used to improve the method's stability. The proposed algorithm is used to optimize a multilayer low‐temperature cofired ceramic bandpass filter. Parameter extraction is done using circuit tuning based on physical augmentation. The results show the proposed algorithm is effective and efficient. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.