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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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Autore principale: Katayama, Tohru. (Autore, http://id.loc.gov/vocabulary/relators/aut)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:English
Pubblicazione: London : Springer London : Imprint: Springer, 2005.
Edizione:1st ed. 2005.
Serie:Communications and Control Engineering,
Soggetti:
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.
Accesso online:https://doi.org/10.1007/1-84628-158-X
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Sommario:
  • 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.

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