DocumentCode
3241091
Title
Fractals in circuits
Author
Lazareck, L. ; Verch, G. ; Peter, A.F.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume
1
fYear
2001
fDate
2001
Firstpage
589
Abstract
The relationship between fractals and feedback circuits is discussed. First, fractals are defined as irregular shapes built by the “replacement rule.” Second, three requirements for chaos within a physical system are defined. The paper employs the Tacoma Narrows Bridge system, models its equivalent circuit and simulates it using PSPICE software from MicroSim. This model with its three sub-circuits for negative, zero and positive damping does not represent a chaotic system. The system, although non-chaotic, is graphically visualized using -performance mapping”. The reason for this visualization, in comparison with Julia and Mandelbrot set techniques, is discussed. Finally, fractal information dimension is defined as a measure of complexity and is calculated for each sub-model. It is hypothesized and proven that the unstable model is the most complex and thus yields the higher fractal dimension value. The paper concludes with a final summation of the fractal-feedback circuit relationship
Keywords
SPICE; chaos; circuit feedback; circuit simulation; damping; equivalent circuits; fractals; set theory; Julia and Mandelbrot set techniques; MicroSim; PSPICE software; Tacoma Narrows Bridge system; chaos; complexity measure; equivalent circuit model; feedback circuits; fractal information dimension; fractal-feedback circuit; fractals; graphical visualization; negative damping; nonchaotic system; performance mapping; positive damping; replacement rule; set techniques; simulation; sub-circuits; unstable model; zero damping; Bridge circuits; Chaos; Circuit simulation; Damping; Equivalent circuits; Feedback circuits; Fractals; SPICE; Shape; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location
Toronto, Ont.
ISSN
0840-7789
Print_ISBN
0-7803-6715-4
Type
conf
DOI
10.1109/CCECE.2001.933750
Filename
933750
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