Research Catalog

Details

Additional authors

1. Pawlak, M. (Mirosław), 1954-

Description

1. x, 390 p. : ill.; 27 cm.

Summary

1. "Presenting a thorough overview of the theoretical foundations of nonparametric systems identification for nonlinear block-oriented systems, Wlodzimierz Greblicki and Miroslaw Pawlak show that nonparametric regression can be successfully applied to system identification, and they highlight what you can achieve in doing so." "This book is aimed at researchers and practitioners in systems theory, signal processing, and communications. It will also appeal to researchers in fields such as mechanics, economics, and biology, where experimental data are used to obtain models of systems."--Jacket.

Subject

1. System identification
2. Nonparametric signal detection
3. Signal processing > Mathematics
4. Mathematical optimization
5. Identification des systèmes
6. Systèmes non linéaires
7. Traitement du signal
8. Statistique non paramétrique
9. Analyse de régression
10. Optimisation mathématique

Contents

1. 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.

Owning institution

1. Princeton University Library

Bibliography (note)

1. Includes bibliographical references (p. [371]-386) and index.