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Multivariable System Modeling And Simulations For Industry Process

Posted on:2007-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:H T LiuFull Text:PDF
GTID:2178360185462526Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
This paper firstly introduces the summary about the basic principle and method of multivariable identification. Then discusses several effective identification methods in view of the multivariable system, and has conducted the simulation research, includes following several aspects specifically.Firstly, identification experiment is discussed. In many papers about identification, estimating algorithms are concerned more attention than experiment design of identification. If experiment design is unreasonable, then the result of identification is not reliable. If the concept of identification is just founded on a group of algorithms or simply form of " data in , model out ", the result of identification will always be fallaciously. Discussing some problem such as selection of the input and output, sampling frequency, testing signal and pretreatment of data in detail, tabling a proposal of methods of collecting necessary information for...
Keywords/Search Tags:industry process, system identification, multivariable system, model decomposing, subspace method
PDF Full Text Request
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