Network Analysis and Synthesis
(eBook)

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Published
Dover Publications, 2013.
ISBN
9780486152172
Status
Available Online
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Format
eBook
Language
English
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Citations
APA Citation (style guide)

Brian D. O. Anderson., Brian D. O. Anderson|AUTHOR., & Sumeth Vongpanitlerd|AUTHOR. (2013). Network Analysis and Synthesis. Dover Publications.

Chicago / Turabian - Author Date Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR and Sumeth Vongpanitlerd|AUTHOR. 2013. Network Analysis and Synthesis. Dover Publications.

Chicago / Turabian - Humanities Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR and Sumeth Vongpanitlerd|AUTHOR, Network Analysis and Synthesis. Dover Publications, 2013.

MLA Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR, and Sumeth Vongpanitlerd|AUTHOR. Network Analysis and Synthesis. Dover Publications, 2013. Web.

Note! Citation formats are based on standards as of July 2010. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work IDfa3e3d02-d85e-a252-94b8-22bcca9ecd0a
Full titlenetwork analysis and synthesis
Authoranderson brian d o
Grouping Categorybook
Last Update2021-07-06 21:20:25PM
Last Indexed2021-08-01 04:46:39AM

Hoopla Extract Information

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    [synopsis] => Geared toward upper-level undergraduates and graduate students, this book offers a comprehensive look at linear network analysis and synthesis. It explores state-space synthesis as well as analysis, employing modern systems theory to unite the classical concepts of network theory. The authors stress passive networks but include material on active networks. They avoid topology in dealing with analysis problems and discuss computational techniques. The concepts of controllability, observability, and degree are emphasized in reviewing the state-variable description of linear systems. Explorations of positive real and bounded real functions and matrices include their applications to optimal control, filtering, and stability. Excellent illustrations highlight this text, which represents the definitive tool for integrating an understanding of network theory with related fields such as control theory and communication systems theory.
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