An Adaptive Preconditioning Technique using Fuzzy Controller for Efficient Solution of Electric Field Integral Equations

Authors

  • Zhiwei Liu Department of Communication Engineering Nanjing University of Science & Technology, Nanjing, 210094, China
  • Jiaqi Chen Department of Communication Engineering Nanjing University of Science & Technology, Nanjing, 210094, China
  • Rushan Chen Department of Communication Engineering Nanjing University of Science & Technology, Nanjing, 210094, China zwliu1982@hotmail.com, cjq19840130@163.com, eechenrs@mail.njust.edu.cn

Keywords:

An Adaptive Preconditioning Technique using Fuzzy Controller for Efficient Solution of Electric Field Integral Equations

Abstract

For efficiently solving large dense complex linear systems that arise in the electric field integral equation (EFIE) formulation of electromagnetic scattering problems, a new adaptive preconditioning technique using fuzzy controller (FC) is introduced and used in the context of the generalized minimal residual iterative method (GMRES) accelerated with the multilevel fast multipole method (MLFMM). The key idea is to control the choice of the preconditioner to be used in an iterative solver by using fuzzy controller. This approach allows the expert knowledge to be taken into account on the controller design and utilizes feedback to tune the cores of the fuzzy set. Numerical results show that the best preconditioner can be selected while maintaining low cost for adaptive procedures.

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Published

2022-05-02

How to Cite

[1]
Z. . Liu, J. . Chen, and R. . Chen, “An Adaptive Preconditioning Technique using Fuzzy Controller for Efficient Solution of Electric Field Integral Equations”, ACES Journal, vol. 26, no. 6, pp. 512–518, May 2022.

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