System identification (SYSID'94) : a postprint volume from the IFAC symposium, Copenhagen, Denmark, 4-6 July 1994
著者
書誌事項
System identification (SYSID'94) : a postprint volume from the IFAC symposium, Copenhagen, Denmark, 4-6 July 1994
Published for the International Federation of Automatic Control by Pergamon, 1995
1st ed
- v. 1
- v. 2
- v. 3
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
-
v. 1I21880/951727109517275,
v. 2I21880/951728109517283, v. 3I21880/951729109517291
注記
Includes bibliographical references and index
内容説明・目次
内容説明
The everyday use of system identification is now widespread, with new and challenging problem areas continually being discovered due, mainly, to new applicaton requirements. Leading researchers and industrial practitioners were able to discuss and evaluate current developments and future reseach directions at the IFAC Symposium on System Identification, SYSID '94. This is one of the most prestigious conferences which has been held every three years since 1967. This publication focuses on new subject areas together with new results from more established areas covered at the symposium. Detailed assessment of important, active subject areas include: Wavelets, Model Quality, Robust Identification and Neural Nets in System Identification, Laguerre and Kautz Models, Bounded Noise, Industrial Use, Subspace Methods, Closed Loop Issues and the interplay between Identification and Signal Processing.
目次
Selected chapter headings:
Temporal Signal Processing. Distributed Systems. Adaptive Systems I. Subspace Algorithms for System Identification. Software Tool and Knowledge Based Systems. Recursive Identification I. Structural Identifiability. New Aspects of Model Representation and Identification. Robust Identification. Fault Detection. Neural Networks II. Continuous Time Methods. CACSD-Tools for Identification II.
「Nielsen BookData」 より