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Subspace Methods for System Identification

System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented wit...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Katayama, Tohru. (مؤلف, http://id.loc.gov/vocabulary/relators/aut)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:English
منشور في: London : Springer London : Imprint: Springer, 2005.
الطبعة:1st ed. 2005.
سلاسل:Communications and Control Engineering,
الموضوعات:
Electrical engineering.
Control engineering.
System theory.
Signal processing.
Image processing.
Speech processing systems.
Chemical engineering.
Communications Engineering, Networks.
Control and Systems Theory.
Systems Theory, Control.
Signal, Image and Speech Processing.
Industrial Chemistry/Chemical Engineering.
الوصول للمادة أونلاين:https://doi.org/10.1007/1-84628-158-X
الوسوم: إضافة وسم
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جدول المحتويات:
  • Preliminaries
  • Linear Algebra and Preliminaries
  • Discrete-Time Linear Systems
  • Stochastic Processes
  • Kalman Filter
  • Realization Theory
  • Realization of Deterministic Systems
  • Stochastic Realization Theory (1)
  • Stochastic Realization Theory (2)
  • Subspace Identification
  • Subspace Identification (1) — ORT
  • Subspace Identification (2) — CCA
  • Identification of Closed-loop System.

مواد مشابهة