{"title":"电路中的分形","authors":"L. Lazareck, G. Verch, A.F. Peter","doi":"10.1109/CCECE.2001.933750","DOIUrl":null,"url":null,"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.","PeriodicalId":184523,"journal":{"name":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Fractals in circuits\",\"authors\":\"L. Lazareck, G. Verch, A.F. Peter\",\"doi\":\"10.1109/CCECE.2001.933750\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":184523,\"journal\":{\"name\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2001.933750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2001.933750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.