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Identification Of Coordination System Based On Support Vector Machine

Posted on:2010-09-16Degree:MasterType:Thesis
Country:ChinaCandidate:H J SongFull Text:PDF
GTID:2132360275984550Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
This paper discussed the dynamics and its identification methods of coordinated system in power plant,which focused on studying principles of Support Vector Machine algorithm and the realization methods for the coordination system identification,and took the real data collectted during the process of coordination system increasing load of Shanxi Sunshine 3000MW power plant as an example to carry out the actual identify simulations. These include the significance of researches on the dynamic characteristics of coordination system identification;Dynamic characteristics Analysis;identification methods of coordinate system;analysis of two types of support vector machine algorithms' principles and the principle of support vector machines based on PSO;did identification simulations of coordinate system using MATLAB language based on three methods of SMO,LS-SVM and PSO-LS-SVM,and compared three methods.The study focused on the research and simulation realization methods based on a variety of support vector machine algorithms,and showed a detailed description and analysis from the principles to the simulation realization.
Keywords/Search Tags:coordination system, identification methods, SMO, LS-SVM, PSO
PDF Full Text Request
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