Passive Macromodeling
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Passive Macromodeling
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Author : Stefano Grivet-Talocia
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-07
Passive Macromodeling written by Stefano Grivet-Talocia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-07 with Technology & Engineering categories.
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.
Passive Macromodeling
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Author : Stefano Grivet-Talocia
language : en
Publisher: John Wiley & Sons
Release Date : 2015-10-19
Passive Macromodeling written by Stefano Grivet-Talocia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-19 with Technology & Engineering categories.
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.
Passive Macromodeling
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Author : Stefano Grivet-Talocia
language : en
Publisher:
Release Date : 2016
Passive Macromodeling written by Stefano Grivet-Talocia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
In the first comprehensive treatment of passive macromodeling on the market, macromodeling experts Stefano Grivet-Talocia and Bjorn Gustavsen address the complex subject with examples of effective, proven methods. Finally, students and researchers may turn to a text that tends to the theoretical background essential to comprehending the algorithms' advantages and disadvantages. With the latest information on black-box passive macromodeling and software implementation, this book is a foolproof guide to both the basics and complexities of passive macromodeling.--Résumé de l'éditeur.
Passive Macromodeling Methodology For High Speed Interconnects
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Author :
language : en
Publisher:
Release Date : 2014
Passive Macromodeling Methodology For High Speed Interconnects written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Dissertations, Academic categories.
A crucial element in any physical, electronic system is the interconnects, which are responsible for the power delivery and signal transmission, from the circuitry within an integrated chip to the printed circuit board (PCB) interconnection network. The demand of digital systems to provide gigabit data rates has brought about engineering challenges related to reliably convey high speed signals within the chip, and sending these signals beyond the integrated circuit (IC) packaging. Macromodeling is a methodology employed with the goal to perform time-domain SPICE analysis of these interconnects, using their frequency transfer characteristics to extract a SPICE equivalent circuit, in order to predict and mitigate their noise performance behavior with the goal of improving signal transmission. Generally, time-domain SPICE simulations are commonly used for electromagnetic compatibility (EMC) and signal integrity (SI) analysis of interconnects. The accuracy of such analysis depends on the macromodels used for emulating the frequency transfer characteristic of the interconnect. These models should be broadband and preserve the physical properties of the materials, such as causality and passivity. The passivity constraint associated with macromodeling is one of the more challenging requirements to satisfy, which is a guarantee of the positive realness of the interconnect model across all frequencies, or that there is no energy gain performed by the model. This effort proposes a method for the analysis of single-input single-output macromodels, implementing the use of non-negative least squares fitting. Furthermore, multi-port macromodel analyses are demonstrated, and show good agreement between model and data, while achieving model-order reduction, and satisfying the passivity and causality requirements for the respective macromodel.
Passive Macromodeling Of Interconnect Structures Using Loewner Matrix Interpolation
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Author : Muhammad Kabir
language : en
Publisher:
Release Date : 2018
Passive Macromodeling Of Interconnect Structures Using Loewner Matrix Interpolation written by Muhammad Kabir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
"Signal and power integrity have become a dominant performance limiting factor in the designof integrated circuits. This has led to the need for accurate time-domain models for signalinterconnects, power delivery networks, and other passive structures used for signal and powerdelivery. Such models are difficult to obtain using analytical physics based approaches. However,it is possible to characterize such structures by using measurement or full-wave simulationin order to obtain their sampled frequency-domain S - or Y-parameters. The objective of thisthesis is to develop a systematic and automated algorithm for obtaining a time-domain SPICEcompatiblemacromodel from measured or computed frequency-domain S - or Y-parameterdata. In particular, a set of tools based on Loewner Matrix (LM) interpolation are developedfor generating a macromodel, reducing its order and guaranteeing its accuracy and passivity.This is done for both S - and Y-parameter data. In addition, a modeling tool is developed togenerate a parametric macromodel based on LM interpolation. Furthermore, the proposed approachhas the advantage of improving the CPU cost of standard full-wave analysis methodsby taking advantage of the developed interpolation methods." --
Global Compact Passive Macromodeling Algorithms For High Speed Circuits
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Author : Dharmendra Saraswat
language : en
Publisher:
Release Date : 2006
Global Compact Passive Macromodeling Algorithms For High Speed Circuits written by Dharmendra Saraswat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Algorithms categories.
Passive Macromodeling Of High Speed Circuits With Embedded Time Delays
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Author : Andrew Charest
language : en
Publisher:
Release Date : 2012
Passive Macromodeling Of High Speed Circuits With Embedded Time Delays written by Andrew Charest and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electrical engineering categories.
Passive Macromodeling Of Linear Subnetworks Characterized By Measured
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Author : Dharmendra Saraswat
language : en
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Release Date : 2003
Passive Macromodeling Of Linear Subnetworks Characterized By Measured written by Dharmendra Saraswat and has been published by National Library of Canada = Bibliothèque nationale du Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computer algorithms categories.
Prima
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Author : Altan Odabasioglu
language : en
Publisher:
Release Date : 1999
Prima written by Altan Odabasioglu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Carnegie Mellon University categories.
System And Data Driven Methods And Algorithms
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Author : Peter Benner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-11-08
System And Data Driven Methods And Algorithms written by Peter Benner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with Mathematics categories.
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.