Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett ( Volume 212 )

Publication series :Volume 212

Author: Torokhti   Anatoli;Howlett   Phil  

Publisher: Elsevier Science‎

Publication year: 2007

E-ISBN: 9780080475387

P-ISBN(Paperback): 9780444530448

P-ISBN(Hardback):  9780444530448

Subject: O15 algebra, number theory, combinatorial theory;O241 数值分析

Language: ENG

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Description

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression.

  • Best operator approximation
  • Non-Lagrange interpolation
  • Generic Karhunen-Loeve transform
  • Generalised low-rank matrix approximation
  • Optimal data compression
  • Optimal nonlinear filtering

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

Preface

pp.:  8 – 10

Table of Contents

pp.:  10 – 14

Chapter 1 Overview

pp.:  14 – 20

Part II Optimal Estimation of Random Vectors

pp.:  240 – 392

Bibliography

pp.:  392 – 408

Index

pp.:  408 – 412

Series Page

pp.:  412 – 414

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