Книга "Пассивное макромоделирование: теория и приложения" предлагает обзор современных методов пассивного макромоделирования с акцентом на черный ящик. В ней рассматриваются различные алгоритмы пассивного макромоделирования для сгруппированных и распределенных систем, и сравниваются их точность, эффективность и устойчивость. Книга включает в себя главы с общими материалами (например, линейные временно-инвариантные цепи и системы, основы дискретизации уравнений поля, системы пространственного состояния), а также приложения, содержащие основные факты из линейной алгебры, шаблоны оптимизации и сигналы и преобразования. Текст также охватывает более технические и продвинутые темы, предназначенные для специалистов. Книга может быть использована в качестве справочника для старших курсов инженерного образования и для инженеров в области численного моделирования, симуляции, проектирования и оптимизации электрических/электронных систем. Авторы книги - Стефано Гривет-Талочия и Бьорн Густавсен - являются признанными экспертами в области пассивного макромоделирования и внесли значительный вклад в разработку и распространение методов пассивного макромоделирования.
Passive Macromodeling by Stefano Grievet-Taloci и Bjorn GustavsenThis book is an outstanding work that reviews established techniques in passive macromodelling, which is one of the preferred approaches with the most efficiency regarding black-box models. Multiple excellent features for ease of explanation and conclusive presentation make this book a valuable addition to the literature. We highly recommended this book for any engineer, computer scientist, or academic that specialises in electrical engineering, numerical modelling, system design, or engineering optimisation.
Электронная Книга «Passive Macromodeling» написана автором Stefano Grivet-Talocia в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119140979
Описание книги от Stefano Grivet-Talocia
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 Passive Macromodeling: Theory and Applications 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. Stefano Grivet-Talocia, PhD, is an Associate Professor of Circuit Theory at the Politecnico di Torino in Turin, Italy, and President of IdemWorks. Dr. Grivet-Talocia is author of over 150 technical papers published in international journals and conference proceedings. He invented several algorithms in the area of passive macromodeling, making them available through IdemWorks. Bjørn Gustavsen, PhD, is a Chief Research Scientist in Energy Systems at SINTEF Energy Research in Trondheim, Norway. More than ten years ago, Dr. Gustavsen developed the original version of the vector fitting method with Prof. Semlyen at the University of Toronto. The vector fitting method is one of the most widespread approaches for model extraction. Dr. Gustavsen is also an IEEE fellow.
