- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Modeling the Input-Output (Rainfall-Runoff) Characteristics of the River with High Order Volterra Functional Series
-
- HATAKEYAMA Takashi
- Research & Development Center, Tohoku Electric Power Co., Inc.
Bibliographic Information
- Other Title
-
- 河川出水現象の入出力関係の高次ボルテラ級数モデルにおける測定誤差の影響の低減の研究
- カセン シュッスイ ゲンショウ ノ ニュウシュツリョク カンケイ ノ コウジ ボルテラ キュウスウ モデル ニ オケル ソクテイ ゴサ ノ エイキョウ ノ テイゲン ノ ケンキュウ
Search this article
Description
In this paper, a modeling method of the input-output relation of river runoff phenomena by Volterra functional series is studied. When the higher order Volterra model (3rd order Volterra Model is discussed in this study) is applied to river runoff phenomena, derived model does not give good simulation results, and can not represent the input-output relation. So, for a long time, the method can not become general method.<br>In this study, considering the source of the inaccuracy to be ill condition of the coefficient matrix of normal equation, the rank reduction method of SVD of M-P generalized inverse in performing the least-squares with a constraint conditions has been applied. As the results, it has been shown that the method is the very effective scheme to derive the faithful model representing the physical input-output characteristic, and the general modeling method of wide range natural nonlinear phenomenon whose input output data contain measuring errors has seemed to be established.
Journal
-
- Transactions of the Society of Instrument and Control Engineers
-
Transactions of the Society of Instrument and Control Engineers 35 (10), 1307-1315, 1999
The Society of Instrument and Control Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390282679477990912
-
- NII Article ID
- 130003791476
- 10004577138
-
- NII Book ID
- AN00072392
-
- ISSN
- 18838189
- 04534654
-
- NDL BIB ID
- 4889532
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed