Computational Methods for Modeling of Nonlinear Systems (Mathematics in Science and Engineering)

Astrom, Karl J.:

ISBN 10: 0120656507 / ISBN 13: 9780120656509

Published by Elsevier Science Publishing Co Inc 01.06.1970., 1970

About this Item

322 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek /ohne Schutzumschlag Sprache: Englisch Gewicht in Gramm: 969 22,9 x 15,2 x 2,5 cm, Gebundene Ausgabe.

Seller Inventory # 336354

Bibliographic Details

• Title: Computational Methods for Modeling of Nonlinear Systems (Mathematics in Science and Engineering)
• Publisher: Elsevier Science Publishing Co Inc 01.06.1970.
• Publication Date: 1970
• Language: English
• ISBN 10: 0120656507
• ISBN 13: 9780120656509
• Binding: Hardcover
• Condition: Gut

About this title

Synopsis

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; andmethods 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 particularbranches, 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