Random Iterative Models / Edition 1

Random Iterative Models / Edition 1

by S.S. Wilson, Marie Duflo
     
 

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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.

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

I. Sources of Recursive Methods.- 1. Traditional Problems.- 2. Rate of Convergence.- 3. Current Problems.- II. Linear Models.- 4. Causality and Excitation.- 5. Linear Identification and Tracking.- III. Nonlinear Models.- 6. Stability.- 7. Nonlinear Identification and Control.- IV. Markov Models.- 8. Recurrence.- 9. Learning.

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