English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/83327
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Pathological element-based active device models and their application to symbolic analysis

AuthorsSánchez-López, Carlos ; Fernández, Francisco V. ; Tlelo-Cuautle, E.; Tan, Sheldon X.-D.
Issue Date2011
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Circuits and Systems I: Regular Papers 58(6): 1382-1395 (2011)
AbstractThis paper proposes new pathological element-based active device models which can be used in analysis tasks of linear(ized) analog circuits. Nullators and norators along with the voltage mirror-current mirror (VM-CM) pair (collectively known as pathological elements) are used to model the behavior of active devices in voltage-, current-, and mixed-mode, also considering parasitic elements. Since analog circuits are transformed to nullor-based equivalent circuits or VM-CM pairs or as a combination of both, standard nodal analysis can be used to formulate the admittance matrix. We present a formulation method in order to build the nodal admittance (NA) matrix of nullor-equivalent circuits, where the order of the matrix is given by the number of nodes minus the number of nullors. Since pathological elements are used to model the behavior of active devices, we introduce a more efficient formulation method in order to compute small-signal characteristics of pathological element-based equivalent circuits, where the order of the NA matrix is given by the number of nodes minus the number of pathological elements. Examples are discussed in order to illustrate the potential of the proposed pathological element-based active device models and the new formulation method in performing symbolic analysis of analog circuits. The improved formulation method is compared with traditional formulation methods, showing that the NA matrix is more compact and the generation of nonzero coefficients is reduced. As a consequence, the proposed formulation method is the most efficient one reported so far, since the CPU time and memory consumption is reduced when recursive determinant-expansion techniques are used to solve the NA matrix. © 2006 IEEE.
DescriptionEl pdf del artículo es la versión post-print.
Publisher version (URL)http://dx.doi.org/10.1109/TCSI.2010.2097696
URIhttp://hdl.handle.net/10261/83327
DOI10.1109/TCSI.2010.2097696
Identifiersdoi: 10.1109/TCSI.2010.2097696
issn: 1549-8328
Appears in Collections:(IMSE-CNM) Artículos
Files in This Item:
File Description SizeFormat 
pathological_element.pdf448,14 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.