{"title":"用符号计算和遗传算法分析直流非线性电路","authors":"F. Enache, I. Vizitiu, C. Rîncu, F. Popescu","doi":"10.1109/OPTIM.2014.6851017","DOIUrl":null,"url":null,"abstract":"The paper presents a method for the determination of the bias point of nonlinear electrical circuits, based on the modified nodal method, by utilization of symbolic computation and genetic algorithms. For the solving of the circuit it is written the equations system corresponding to the modified nodal method in a partial symbolic form. On the basis of the partial symbolic form of these equations an error function is generated which gives the circuit solution by minimization. In the paper are presented a few examples of circuits, for which iterative solving is not convergent. These circuits could be solved by means of the elaborated method.","PeriodicalId":298237,"journal":{"name":"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of direct current nonlinear electrical circuits by means of symbolic computation and genetic algorithms\",\"authors\":\"F. Enache, I. Vizitiu, C. Rîncu, F. Popescu\",\"doi\":\"10.1109/OPTIM.2014.6851017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a method for the determination of the bias point of nonlinear electrical circuits, based on the modified nodal method, by utilization of symbolic computation and genetic algorithms. For the solving of the circuit it is written the equations system corresponding to the modified nodal method in a partial symbolic form. On the basis of the partial symbolic form of these equations an error function is generated which gives the circuit solution by minimization. In the paper are presented a few examples of circuits, for which iterative solving is not convergent. These circuits could be solved by means of the elaborated method.\",\"PeriodicalId\":298237,\"journal\":{\"name\":\"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OPTIM.2014.6851017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2014.6851017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of direct current nonlinear electrical circuits by means of symbolic computation and genetic algorithms
The paper presents a method for the determination of the bias point of nonlinear electrical circuits, based on the modified nodal method, by utilization of symbolic computation and genetic algorithms. For the solving of the circuit it is written the equations system corresponding to the modified nodal method in a partial symbolic form. On the basis of the partial symbolic form of these equations an error function is generated which gives the circuit solution by minimization. In the paper are presented a few examples of circuits, for which iterative solving is not convergent. These circuits could be solved by means of the elaborated method.
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