© 1983

Nonlinear Stochastic Problems

  • Richard S. Bucy
  • José M. F. Moura

Part of the NATO ASI Series book series (ASIC, volume 104)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. R. S. Bucy, José M. F. Moura
      Pages 3-5
    3. Richard S. Bucy, José M. F. Moura
      Pages 7-18
  3. Spectral Estimation

  4. Identification

  5. System Theory

  6. Adaptive / Stochastic Control

About this book


This volume corresponds to the invited lectures and advanced research papers presented at the NATD Advanced Study Institute on Nonlinear Stochastic Problems with emphasis on Identification, Signal Processing, Control and Nonlinear Filtering held in Algarve (Portugal), on May 1982. The book is a blend of theoretical issues, algorithmic implementation aspects, and application examples. In many areas of science and engineering, there are problems which are intrinsically nonlinear 3nd stochastic in nature. Clear examples arise in identification and mOdeling, signal processing, nonlinear filtering, stochastic and adaptive conLrol. The meeting was organized because it was felt that there is a need for discussion of the methods and philosophy underlying these different areas, and in order to communicate those approaches that have proven to be effective. As the computational technology progresses, more general approaches to a number of problems which have been treated previously by linearization and perturbation methods become feasible and rewarding.


Estimator Hilbert space Maximum Minimum Variance calculus differential equation

Editors and affiliations

  • Richard S. Bucy
    • 1
  • José M. F. Moura
    • 2
  1. 1.Department of Aerospace EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Department of Electrical EngineeringInstituto Superior TécnicoLisbonPortugal

Bibliographic information

  • Book Title Nonlinear Stochastic Problems
  • Editors S. Bucy
    J.M.F Moura
  • Series Title NATO ASI Series
  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1983
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-90-277-1590-6
  • Softcover ISBN 978-94-009-7144-8
  • eBook ISBN 978-94-009-7142-4
  • Series ISSN 1389-2185
  • Edition Number 1
  • Number of Pages XII, 623
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Analysis
    Probability Theory and Stochastic Processes
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