Identification of Transfer Functions in Feedback System and Inverse Problem

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概要

• 論文の詳細を見る

• A unified theory of identification in a feedback system is presented from the viewpoint of inverse problem on reactor noise. A power reactor described by a 4 block feedback model is expressed in terms of equivalent correlation functions as a 5 block feedback model with an additional loop, if one of subsystems of the reactor becomes unstable, however, the total system is stable by negative feedback effects, and if noise sources are not independent. The addition of a loop in the feedback system leads errors in estimation of open loop transfer functions. In the case, modified open loop transfer functions are identified instead of original ones. From the viewpoint of reactor diagnosis, notes on system identification are discussed on an open loop transfer function in a low power reactor and on effects of diagonalization in covariance space of noise sources.

• 社団法人 日本原子力学会の論文
• 1995-12-25

著者

• Kishida Kuniharu

  Department Of Applied Mathematics Faculty Of Engineering Gifu University

関連論文

• Identification of Transfer Functions in Non-square Feedback Systems
• Identification of Transfer Functions in Feedback System and Inverse Problem
• Properties of autoregressive model in reactor noise analysis. (I). Convergence of parameters and power spectral density.:Lonvergence of Parameters and Power Spectral Density
• Hidden state-variables and a non-Markoffian formulation of reactor noise.
• Irreversible circulation of fluctuation in reactor noise.
• Hidden state variables and AR-MA formulation of reactor noise.
• Reactor Noise Theory based on System Size Expansion

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