000			03944nam a2200349 i 4500
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003			ES-MaUEC
005			20240521140422.0
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007			cr nn 008mamaa
008			231016s2024 sz | fo |||| 0|eng d
020			_a9783031438455
024	7		_a10.1007/978-3-031-43845-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7876 _b2024 EB
100	1		_aPietrenko-Dabrowska, Anna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673481
245	1	0	_aResponse Feature Technology for High-Frequency Electronics Optimization, Modeling, and Design Automation _cby Anna Pietrenko-Dabrowska, Slawomir Koziel
250			_a1st ed. 2024
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aIntroduction -- 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.
520			_aThis 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. Describes fundamentals of simulation-based high-frequency design, including optimization and surrogate modelling Introduces the concept, formulation, and implementation of response feature technology for high-frequency design Provides balanced coverage of theoretical foundations and engineering-oriented methods Discusses design applications of response feature methodologies, including single- and multi-objective optimization, global optimization, behavioural and physics-based modelling, and uncertainty quantification.
988			_aSpringer_Engineering_2024
650		7	_2embne _9138714 _aMicroondas
700	1		_9673480 _aKoziel, Slawomir _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-43845-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI