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Random Iterative Models : Stochastic Modelling and Applied Probability - S.S. Wilson

Random Iterative Models

Stochastic Modelling and Applied Probability

By: Marie Duflo, S.S. Wilson (Translator)

Hardcover Published: 16th December 1996
ISBN: 9783540571001
Number Of Pages: 385

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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.

Preface
Notation
Sources of Recursive Methods
Traditional Problemsp. 3
Rate of Convergencep. 39
Current Problemsp. 75
Linear Models
Causality and Excitationp. 89
Linear Identification and Trackingp. 133
Nonlinear Models
Stabilityp. 181
Nonlinear Identification and Controlp. 227
Markov Models
Recurrencep. 269
Learningp. 305
Bibliographyp. 349
Indexp. 381
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540571001
ISBN-10: 3540571000
Series: Stochastic Modelling and Applied Probability
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 385
Published: 16th December 1996
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 3.18
Weight (kg): 1.66