Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 594 p.
  • 言語 ENG
  • 商品コード 9783031438479

Full Description

This book discusses  response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the system outputs, feature-based approaches  facilitate simulation-driven design procedures, both in terms of improving their computational efficiency and reliability. These benefits are associated with the weakly nonlinear relationship between feature point coordinates and design variables, which—in the context of optimization—leads to inherent regularization of the objective functions. The book provides an overview  of the subject, a definition and extraction of characteristic points, and feature-based design problem reformulation. It also outlines a number of numerical algorithms developed to handle local, global, and multi-criterial design, surrogate modeling, as well as uncertainty quantification. The discussed frameworks are extensively illustrated using examples of real microwave and antenna structures, along with numerous design cases. Introductory material on simulation-driven design, numerical optimization, as well as behavioral and physics-based surrogate modeling is also included. The book will be useful for  readers working in the area of high-frequency electronics, including microwave engineering, antenna design, microwave photonics, magnetism and especially those who utilize electromagnetic (EM) simulation models in their daily routines.

Contents

Introduction.- Simulation-driven design of high-frequency structures.- Basics of response feature technology.- Response features for local optimization.- Expedited feature-based optimization.- Response features for global and multi-objective design.- Feature-based surrogate modeling.- Performance-driven modeling with response features.- Response features for uncertainty quantification.- Feature-based warm start optimization and database design acquisition.- Response features for reliability improvement.- Generalized features.- Summary and conclusion.

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