Nonparametric System Identification /

Nonparametric System Identification / Wlodzimierz Greblicki, Miroslaw Pawlak.

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Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this book shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphas...

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Bibliographic Details
Online Access: Full Text (via Cambridge)
Corporate Author: Cambridge University Press
Other Authors: Greblicki, Wlodzimierz, Pawlak, Miroslaw
Other title:Cambridge books online.
Format: Electronic eBook
Language:English
Published: Cambridge : Cambridge University Press, 2008.
Subjects:
System identification.
Nonparametric signal detection.
Signal processing > Mathematics.
Mathematical optimization.
Table of Contents:
  • Discretet-time Hammerstein systems
  • Kernel algorithms
  • Semirecursive kernel algorithms
  • Recursive kernel algorithms
  • Orthogonal series algorithms
  • Algorithms with ordered observations
  • Continuous-time Hammerstein systems
  • Discrete-time Wiener systems
  • Kernel and orthogonal series algorithms
  • Continuous-time Wiener system
  • Other block-oriented nonlinear systems
  • Multivariate nonlinear block-oriented systems
  • Semiparametric identification
  • Convolution and kernel functions
  • Orthogonal functions
  • Probability and statistics.

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