Passive Macromodeling: Theory and Applications By Stefano Grivet-Talocia, Bjorn Gustavsen
2016 | 864 Pages | ISBN: 1118094913 | PDF | 31 MB
Offers an overview of state of the art passive macromodeling techniques with an emphasis on black-box approaches
This book offers coverage of developments in linear macromodeling, with a focus on effective, proven methods. After starting with a definition of the fundamental properties that must characterize models of physical systems, the authors discuss several prominent passive macromodeling algorithms for lumped and distributed systems and compare them under accuracy, efficiency, and robustness standpoints. The book includes chapters with standard background material (such as linear time-invariant circuits and systems, basic discretization of field equations, state-space systems), as well as appendices collecting basic facts from linear algebra, optimization templates, and signals and transforms. The text also covers more technical and advanced topics, intended for the specialist, which may be skipped at first reading.
Provides coverage of black-box passive macromodeling, an approach developed by the authors
Elaborates on main concepts and results in a mathematically precise way using easy-to-understand language
Illustrates macromodeling concepts through dedicated examples
Includes a comprehensive set of end-of-chapter problems and exercises
serves as a reference for senior or graduate level courses in electrical engineering programs, and to engineers in the fields of numerical modeling, simulation, design, and optimization of electrical/electronic systems.
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