Feature-based surrogates for low-cost microwave modelling and optimisation

作     者：Koziel, Slawomir Cheng, Qingsha S. Bandler, John W. 

作者机构：Reykjavik Univ Engn Optimizat & Modeling Ctr IS-101 Reykjavik Iceland SUSTC Dept Elect & Elect Engn Shenzhen 518055 Guangdong Peoples R China McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada Bandler Corp Dundas ON L9H 5E7 Canada 

出 版 物：《IET MICROWAVES ANTENNAS & PROPAGATION》 (IET Microwaves Antennas Propag)

年 卷 期：2015年第9卷第15期

页      面：1706-1712页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：Icelandic Centre for Research (RANNIS) [130450051, 141272051] National Natural Science Foundation of China Natural Sciences and Engineering Research Council of Canada [RGPIN7239-11, STPGP447367-13] Bandler Corporation 

主　　题：response surface methodology microstrip filters band-pass filters resonator filters band-stop filters microwave filters approximation theory feature-based surrogate approach microwave modelling microwave structure hierarchical surrogate model response surface approximation RSA method scanning algorithm design parameters modelling process wideband microstrip bandstop filter ring resonator bandpass filter microstrip bandpass filter SPRP method 

摘      要：A simple, reliable, and accurate surrogate modelling technique for microwave structures is presented. A hierarchical surrogate model is constructed using response surface approximations (RSAs) of suitable response features with embedded visible knowledge. The authors describe and discuss a novel scanning algorithm for capturing these desired response features. They demonstrate that the dependence of the selected features on the designable parameters is much less non-linear than that of the original responses taken as functions of the design parameters. They illustrate the steps of their algorithm using novel diagrams. They simplify the description of their modelling process by exploiting an operator notation. They discuss relationships between their method and other feature-based approaches such as shape-preserving response prediction (SPRP). They provide a wideband microstrip bandstop filter, a fourth-order ring resonator bandpass filter and a microstrip bandpass filter with open stub inverter examples to demonstrate their approach. Using these examples, they compare their approach with two very different direct RSA methods (kriging and radial basis function) and an SPRP method. The models of all the filter examples are validated using design optimisation.