Random iterative models
Author(s)
Bibliographic Information
Random iterative models
（Applications of mathematics, 34）
Springer, c1997
- Other Title
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Méthdes récursives aléatoires
Available at / 50 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC21:003.76/D8742070392038
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Note
Includes bibliographical references (p. [349]-379) and index
"Title of the French original edition: Méthdes récursives aléatoires, Published by Masson, Paris 1990" -- T.p. verso
Description and Table of Contents
Description
An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex stochastic 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.
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.
by "Nielsen BookData"