In system identification, estimates of the unknown system model orders are often required, An algorithm for estimating model orders is described that looks at input/output data covariance matrix eigenvectors. When model orders are overestimated, zeros appear in the noise subspace eigenvectors. The number of zeros present can be used to estimate model orders.
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College of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Engineering Research Center of Nuclear Technology Application (East China University of Technology), Ministry of EducationCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Huai-Ping Wang
Jian-Bin Zhou
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Jian-Bin Zhou
Xiao-Ping Ouyang
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Northwestern Institute of Nuclear TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Xiao-Ping Ouyang
Xian-Guo Tuo
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Xian-Guo Tuo
Xu Hong
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Xu Hong
Yi Liu
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Yi Liu
Jie Yu
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology
Jie Yu
You-Xian Jin
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College of Nuclear Technology and Automation Engineering,Chengdu University of TechnologyCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology