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Description
[Abstract] In this paper, we propose a deterministic off-line identification method [1] that obtains a state-space model by using input and output data with steady state values. The method is composed of the method [2] zeroing the 0~N-tuple integral values of output error of single-input single-output transfer function model and Ho-Kalman's method [3]. The method has an assumption that plant system matrix A satisfies |A|<1 because the method utilizes the Taylor series expansion of the plant. We prove that the method can be applied to plants without the assumption |A|<1. The feature is that the method can identify by using step responses, the derived state-space model is emphasized in low frequency range and, consequently, this is suitable for a mechanical system identification in which noise and vibration are undesirable. Numerical simulations of multi-input multi-output system identification are illustrated.
Journal
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- Annual reports by Research Institute for Science and Technology
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Annual reports by Research Institute for Science and Technology (17), 27-34, 2005-02-01
近畿大学理工学総合研究所
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Details 詳細情報について
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- CRID
- 1050282677516328320
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- NII Article ID
- 110004636325
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- NII Book ID
- AN10074306
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- ISSN
- 09162054
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- NDL BIB ID
- 7270841
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- Text Lang
- en
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- Article Type
- departmental bulletin paper
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- Data Source
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- IRDB
- NDL
- CiNii Articles