Study on reactor system identification with multivariate auto-regressive analysis
Author:
Publisher
Elsevier BV
Subject
Nuclear Energy and Engineering
Reference11 articles.
1. A new look at the statistical model identification
2. Studies on multivariate autoregressive analysis using synthesized reacor noiselike data for optimal modelling
3. Results and interpretation of multivariate autoregressive analysis applied to the loft reactor process noise data
4. Summary of the benchmark test on artificial noise data
5. Inconsistency of the AIC rule for estimating the order of autoregressive models
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Asymptotic distributions and confidence regions of open loop transfer functions obtained by multivariate autoregressive modelling and application to a benchmark's simulation data;Progress in Nuclear Energy;2000-01
2. Identification of Transfer Function in a Feedback System and Autoregressive Analysis;IFAC Proceedings Volumes;1997-07
3. Identification of the excitation source of the pressure vessel vibration in a soviet built WWER PWR with signal transmission path analysis;Annals of Nuclear Energy;1996-08
4. Identification of transfer functions in feedback system and inverse problem;J NUCL SCI TECHNOL;1995
5. Identification of Transfer Functions in Feedback System and Inverse Problem;Journal of Nuclear Science and Technology;1995-12
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