Nonlinear Stochastic Problems

J. M. F Moura

ISBN 10: 9027715904 / ISBN 13: 9789027715906

Published by Springer Netherlands, Springer Netherlands, 1983

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9789027715906

Bibliographic Details

• Title: Nonlinear Stochastic Problems
• Publisher: Springer Netherlands, Springer Netherlands
• Publication Date: 1983
• Language: English
• ISBN 10: 9027715904
• ISBN 13: 9789027715906
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 39D millimeters 241 millimeters width by 160 millimeters height by 39 millimeters depth
• Weight: 1115 grams

About this title

Synopsis

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.