Passive Macromodeling. Theory And Applications

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RUR 12349.01
4.8 звезд, основано на 77 отзывах

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

Bj rn Gustavsen, PhD, is a Chief Research Scientist in Energy Systems at SINTEF Energy Research in Trondheim, Norway

Dr

Dr

Grivet-Talocia is author of over 150 technical papers published in international journals and conference proceedings

Gustavsen developed the original version of the vector fitting method with Prof

Gustavsen is also an IEEE fellow.

He invented several algorithms in the area of passive macromodeling, making them available through IdemWorks

More than ten years ago, Dr

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

Semlyen at the University of Toronto

Stefano Grivet-Talocia, PhD, is an Associate Professor of Circuit Theory at the Politecnico di Torino in Turin, Italy, and President of IdemWorks

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

The vector fitting method is one of the most widespread approaches for model extraction

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