DocumentCode :
2532952
Title :
A new always cancellation-free approach to the multilevel symbolic analysis for very large electric networks
Author :
Lasota, Slawomir
Author_Institution :
Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland
fYear :
2012
fDate :
18-21 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents an algorithm of the exact symbolic network function analysis that deals with circuits with any size. The only condition is to decompose the whole circuit into smaller sub-circuits. The decomposition is the multi-level hierarchical one. What is more, the calculation for each level can be done only once and the partial results can be reused any time. A higher level subcircuit does not need too much information about a lower one. The method can be easily implemented in multiprocessor or distributed systems. Although multilevel and compressed structure, symbolical value remains cancellation-free and any path from the root to the terminal vertex represent a single term. Thus, a large-scale and small-scale sensitivities calculation and elimination of less significant terms become simply and natural. To get the s-Expanded form, the fast algorithm based on sparse polynomial multiplication methods can be applied.
Keywords :
network analysis; polynomials; S-expanded form; cancellation-free approach; compressed structure; distributed systems; higher level subcircuit; multilevel symbolic analysis; multiprocessor; small-scale sensitivity calculation; sparse polynomial multiplication methods; symbolic network function analysis; terminal vertex; very large electric networks; Admittance; Algorithm design and analysis; Gold; Indium phosphide; Integrated circuit modeling; Polynomials; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals and Electronic Systems (ICSES), 2012 International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-1710-8
Electronic_ISBN :
978-1-4673-1709-2
Type :
conf
DOI :
10.1109/ICSES.2012.6382244
Filename :
6382244
Link To Document :
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