Development of Box–Jenkins type time series models by combining conventional and orthonormal basis filter approaches
A unified scheme for developing Box–Jenkins (BJ) type models from input–output plant data by combining orthonormal basis filter (OBF) model and conventional time series models, and the procedure for the corresponding multi-step-ahead prediction are presented. The models have a deterministic part tha...
保存先:
主要な著者: | Tufa , L.D., Ramasamy , Marappagounder, Patwardhan , S.C., Mahadzir, Shuhaimi |
---|---|
フォーマット: | 論文 |
出版事項: |
Elsevier
2010
|
主題: | |
オンライン・アクセス: | http://eprints.utp.edu.my/1674/1/JPC2010.jpg http://eprints.utp.edu.my/1674/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Development of Box-Jenkins type time series models by combining conventional and orthonormal basis filter approaches
著者:: Tufa , L.D., 等
出版事項: (2010) -
Development of Box-Jenkins type time series models by combining conventional and orthonormal basis filter approaches
著者:: Tufa , L.D., 等
出版事項: (2010) -
System Identification using orthonormal basis filter
著者:: Tufa , L.D., 等
出版事項: (2009) -
Control relevant system identification using orthonormal basis filters
著者:: Tufa , L.D., 等
出版事項: (2007) -
Control relevant system identification using orthonormal basis filters
著者:: Tufa , L.D., 等
出版事項: (2007)