Random Iterative Models / Edition 1

Random Iterative Models / Edition 1

by S.S. Wilson, Marie Duflo
     
 

ISBN-10: 3540571000

ISBN-13: 9783540571001

Pub. Date: 10/12/2000

Publisher: Springer Berlin Heidelberg

An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex shastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks ...). Suitable for mathematicians (researchers and also students) and engineers.  See more details below

Overview

An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex shastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks ...). Suitable for mathematicians (researchers and also students) and engineers.

Product Details

ISBN-13:
9783540571001
Publisher:
Springer Berlin Heidelberg
Publication date:
10/12/2000
Series:
Stochastic Modelling and Applied Probability Series, #34
Edition description:
1997
Pages:
385
Product dimensions:
6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Preface
Notation
Pt. ISources of Recursive Methods
1Traditional Problems3
2Rate of Convergence39
3Current Problems75
Pt. IILinear Models
4Causality and Excitation89
5Linear Identification and Tracking133
Pt. IIINonlinear Models
6Stability181
7Nonlinear Identification and Control227
Pt. IVMarkov Models
8Recurrence269
9Learning305
Bibliography349
Index381

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