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Nonsmooth Modeling and Simulation for Switched Circuits (Paperback, 2011 ed.) Loot Price: R4,353
Discovery Miles 43 530
Nonsmooth Modeling and Simulation for Switched Circuits (Paperback, 2011 ed.): Vincent Acary, Olivier Bonnefon, Bernard...

Nonsmooth Modeling and Simulation for Switched Circuits (Paperback, 2011 ed.)

Vincent Acary, Olivier Bonnefon, Bernard Brogliato

Series: Lecture Notes in Electrical Engineering, 69

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Loot Price R4,353 Discovery Miles 43 530 | Repayment Terms: R408 pm x 12*

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Nonsmooth Modeling and Simulation for Switched Circuits concerns the modeling and the numerical simulation of switched circuits with the nonsmooth dynamical systems (NSDS) approach, using piecewise-linear and multivalued models of electronic devices like diodes, transistors, switches. Numerous examples (ranging from introductory academic circuits to various types of power converters) are analyzed and many simulation results obtained with the INRIA open-source SICONOS software package are presented. Comparisons with SPICE and hybrid methods demonstrate the power of the NSDS approach. Nonsmooth Modeling and Simulation for Switched Circuits is intended to researchers and engineers in the field of circuits simulation and design, but may also attract applied mathematicians interested by the numerical analysis for nonsmooth dynamical systems, as well as researchers from Systems and Control.

General

Imprint: Springer
Country of origin: Netherlands
Series: Lecture Notes in Electrical Engineering, 69
Release date: December 2012
First published: 2011
Authors: Vincent Acary • Olivier Bonnefon • Bernard Brogliato
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Paperback
Pages: 284
Edition: 2011 ed.
ISBN-13: 978-9400733855
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
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LSN: 9400733852
Barcode: 9789400733855

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