{"title":"局部分数低通输电线模型的有效计算方法","authors":"Kang-Jia Wang","doi":"10.1016/j.aej.2024.07.021","DOIUrl":null,"url":null,"abstract":"<div><div>In this research, a new fractional low-pass electrical transmission lines model (LPETLM) described by the local fractional derivative (LFD) is derived for the first time. By defining the Mittag-Leffler function (MLF) on the Cantor set (CS), two special functions, namely, the<span><math><mrow><mi>L</mi><msub><mrow><mi>T</mi></mrow><mrow><mi>δ</mi></mrow></msub></mrow></math></span>-function and <span><math><mrow><mi>L</mi><msub><mrow><mi>C</mi></mrow><mrow><mi>δ</mi></mrow></msub></mrow></math></span>-function, are extracted to develop an auxiliary function, which is employed to look for the non-differentiable (ND) exact solutions (ESs) together with Yang’s non-differentiable transformation. Eight sets of the ESs are obtained and the corresponding dynamic performances on the CS for <span><math><mrow><mi>γ</mi><mo>=</mo><mspace></mspace><mi>ln</mi><mspace></mspace><mn>2</mn><mo>/</mo><mspace></mspace><mi>ln</mi><mspace></mspace><mn>3</mn></mrow></math></span> are displayed. As expected, for <span><math><mrow><mi>γ</mi><mo>→</mo><mn>1</mn></mrow></math></span>, the ESs of the local fractional LPETLM become the ESs of the classic LPETLM and the outlines are also depicted graphically. The outcomes confirm that our new method is a promising tool to handle the local fractional PDEs in the electrical and electronic engineering.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"110 ","pages":"Pages 629-635"},"PeriodicalIF":6.2000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An effective computational approach to the local fractional low-pass electrical transmission lines model\",\"authors\":\"Kang-Jia Wang\",\"doi\":\"10.1016/j.aej.2024.07.021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this research, a new fractional low-pass electrical transmission lines model (LPETLM) described by the local fractional derivative (LFD) is derived for the first time. By defining the Mittag-Leffler function (MLF) on the Cantor set (CS), two special functions, namely, the<span><math><mrow><mi>L</mi><msub><mrow><mi>T</mi></mrow><mrow><mi>δ</mi></mrow></msub></mrow></math></span>-function and <span><math><mrow><mi>L</mi><msub><mrow><mi>C</mi></mrow><mrow><mi>δ</mi></mrow></msub></mrow></math></span>-function, are extracted to develop an auxiliary function, which is employed to look for the non-differentiable (ND) exact solutions (ESs) together with Yang’s non-differentiable transformation. Eight sets of the ESs are obtained and the corresponding dynamic performances on the CS for <span><math><mrow><mi>γ</mi><mo>=</mo><mspace></mspace><mi>ln</mi><mspace></mspace><mn>2</mn><mo>/</mo><mspace></mspace><mi>ln</mi><mspace></mspace><mn>3</mn></mrow></math></span> are displayed. As expected, for <span><math><mrow><mi>γ</mi><mo>→</mo><mn>1</mn></mrow></math></span>, the ESs of the local fractional LPETLM become the ESs of the classic LPETLM and the outlines are also depicted graphically. The outcomes confirm that our new method is a promising tool to handle the local fractional PDEs in the electrical and electronic engineering.</div></div>\",\"PeriodicalId\":7484,\"journal\":{\"name\":\"alexandria engineering journal\",\"volume\":\"110 \",\"pages\":\"Pages 629-635\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"alexandria engineering journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1110016824007439\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016824007439","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
An effective computational approach to the local fractional low-pass electrical transmission lines model
In this research, a new fractional low-pass electrical transmission lines model (LPETLM) described by the local fractional derivative (LFD) is derived for the first time. By defining the Mittag-Leffler function (MLF) on the Cantor set (CS), two special functions, namely, the-function and -function, are extracted to develop an auxiliary function, which is employed to look for the non-differentiable (ND) exact solutions (ESs) together with Yang’s non-differentiable transformation. Eight sets of the ESs are obtained and the corresponding dynamic performances on the CS for are displayed. As expected, for , the ESs of the local fractional LPETLM become the ESs of the classic LPETLM and the outlines are also depicted graphically. The outcomes confirm that our new method is a promising tool to handle the local fractional PDEs in the electrical and electronic engineering.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering