| 書目名稱 | From Data to Model | | 編輯 | Jan C. Willems | | 視頻video | http://file.papertrans.cn/349/348629/348629.mp4 | | 圖書封面 |  | | 描述 | The problem of obtaining dynamical models directly from an observed time-series occurs in many fields of application. There are a number of possible approaches to this problem. In this volume a number of such points of view are exposed: the statistical time series approach, a theory of guaranted performance, and finally a deterministic approximation approach. This volume is an out-growth of a number of get-togethers sponsered by the Systems and Decision Sciences group of the International Institute of Applied Systems Analysis (IIASA) in Laxenburg, Austria. The hospitality and support of this organization is gratefully acknowledged. Jan Willems Groningen, the Netherlands May 1989 TABLE OF CONTENTS Linear System Identification- A Survey page 1 M. Deistler A Tutorial on Hankel-Norm Approximation 26 K. Glover A Deterministic Approach to Approximate Modelling 49 C. Heij and J. C. Willems Identification - a Theory of Guaranteed Estimates 135 A. B. Kurzhanski Statistical Aspects of Model Selection 215 R. Shibata Index 241 Addresses of Authors 246 LINEAR SYSTEM IDENTIFICATION· A SURVEY M. DEISTLER Abstract In this paper we give an introductory survey on the theory of identification of (in | | 出版日期 | Book 1989 | | 關(guān)鍵詞 | Approximation Modelling; Estimator; Identification; Likelihood; Linear Systems; Lineare Systeme; Zeitreihe | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-75007-6 | | isbn_softcover | 978-3-642-75009-0 | | isbn_ebook | 978-3-642-75007-6 | | copyright | Springer-Verlag Berlin · Heidelberg 1989 |
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