Testability analysis is aimed at evaluating the degree of solvability of both the fault diagnosis and the parameter identification problems. As far as analog linear time-invariant circuits are concerned, various appro...
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Testability analysis is aimed at evaluating the degree of solvability of both the fault diagnosis and the parameter identification problems. As far as analog linear time-invariant circuits are concerned, various approaches, predicated on either fully numerical or symbolic techniques, have been proposed in the past for such purpose. However, the former are severely plagued by the effects of roundoff errors, whereas the latter soon become unacceptably time-consuming as the circuit size grows large. In the present paper, a novel algorithm is described, which completely avoids resorting to symbolic techniques, thereby overcoming the mentioned related drawbacks and, at the same time, it drastically reduces the computational issues posed by formerly proposed fully numerical methods. Such an algorithm provides information as to how many and which parameters can be diagnosed or identified and has been straightforwardly translated into a software for fully automated testability analysis, also briefly described herein. The aforementioned noteworthy features of the algorithm on which it is based render the software in question a successful tool for testability analysis of very large networks, as opposed to formerly proposed computer programs, which generally fail such a task. Examples of application of both the algorithm and its software counterpart are given.
Offers an overview of state of the art passive macromodeling techniques with an emphasis on black-box approachesThis book offers coverage of developments in linear macromodeling, with a focus on effective, proven meth...
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ISBN:
(数字)9781119140979
ISBN:
(纸本)9781118094914
Offers an overview of state of the art passive macromodeling techniques with an emphasis on black-box approachesThis 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 *** 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 ***ørn Gustavsen, PhD, is a Chief Research Scientist in Energy Systems at SINTEF Energy Res
The paper gives a new approach to the design of power electronic circuits. time periodic functions of excitation and response are required as input data for the design. A sequence of the linear time-invariant circuits...
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The paper gives a new approach to the design of power electronic circuits. time periodic functions of excitation and response are required as input data for the design. A sequence of the linear time-invariant circuits is found on the basis of these data. As a result of the synthesis method new switching structures are obtained. The synthesis method presented can be applied to create new thyristor and transistor arrangements, particularly thyristor compensators.
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