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. Bjorn
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.
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