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Subspace Methods for System Identification: A Realization Approach

โœ Scribed by Tohru Katayama


Publisher
Springer
Year
2005
Tongue
English
Leaves
400
Series
Communications and control engineering
Category
Library

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โœฆ Synopsis


A mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction is provided by this book. The book covers various aspects of the digital signal processing (DSP) "problem". It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book โ€” covering digital to analog and analog to digital conversion โ€” provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters Introduction; Linear Algebra and Preliminaries; Discrete-Time Linear Systems; Stochastic Processes; Kalman Filter; Realization of Deterministic Systems; Stochastic Realization Theory (1); Stochastic Realization Theory (2); Subspace Identification (1) -- ORT; Subspace Identification (2) -- CCA; Identification of Closed-loop System


๐Ÿ“œ SIMILAR VOLUMES


Subspace Methods for System Identificati
โœ Tohru Katayama ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer ๐ŸŒ English

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

Subspace Methods for System Identificati
โœ Tohru Katayama PhD (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><P>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 augment

Subspace Methods for System Identificati
โœ Tohru Katayama ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐ŸŒ English

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochasti

Subspace identification for linear syste
โœ van Overschee P., Moor B.L. ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› Kluwer ๐ŸŒ English

Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multiva